In collaboration with Optimice, I will teach a workshop on Social Network Analysis for enterprises, organizations, and businesses using NodeXL.

• Self-paced e-learning (4 hours)
  • Introduction to Social/Organisational Network Analysis
  • Network patterns and metrics
  • Software tools for network analysis
  • Managing an ONA Project
    
• Module 1: Scoping your ONA Project (2 hour virtual session hosted by Patti Anklam)
  • Determining which business problem to solve with ONA
  • Review of case-studies
  • Determining your questions
• Module 2: Setting up your ONA survey (2 hour virtual session hosted by Cai Kjaer / Laurence Lock Lee)
  • Setting up your survey
  • Working with mailing lists and other lists
  • Creating relationship sets and network questions
  • Previewing and launching the survey
  • Tracking progress and downloading responses
• Module 3: Visualise networks with NodeXL (2 hour virtual session hosted by Marc Smith)
  • Getting started with NodeXL
  • Calculating and visualizing network metrics
  • Preparing data and filtering
  • Importing data from Social Media tools
  • Clustering and grouping

A number of ONA Practitioner Courses are available to suit the timezones of participants located in the US, Europe and/or Asia-Pacific (but not restricted to these regions):

Mastering Social Media 2011 is a workshop scheduled for November 28 and 30 in Cape Town and Johannesburg, South Africa.

My partner, Walter Pike, is a Marketing Maven and Founder of PiKE | New Marketing (www.pike.co.za) and the founder of the Digital Academy www.digitalacademy.co.za
He blogs at walterpike.com.

Mastering Social Media will give you practical tools on how to plan, execute and monitor your social media campaigns. Discussions will lead you through the introduction to social media marketing, understanding community dynamics, mapping social networks and applying network insights to your goals.
Brand Managers, Marketing Managers, Advertising Agencies, Digital Agencies, and PR Agencies are likely to find the day useful.

Venues and Dates

Johannesburg

30 November 2011
Gordon Institute
of Business Science,
Illovo

Pictures:

Methodologies for Web and Social Media Data Analysis in Social Science and Policy Research

CCSR Short Course
Social Media Network Analysis using NodeXL

November 9th  9.00 am – 5.30 pm.

Marc Smith
Social Media Research Foundation
http://www.smrfoundation.org

Course Summary: Networks are everywhere in the natural and social world.  New tools are making the task of getting, processing, measuring, visualizing and gaining insights from network data sets easier than ever before.  The rise of social media offers a new and abundant source of network data.  The NodeXL project (http://www.codeplex.com/nodexl) from the Social Media Research Foundation (http://www.smrfoundation.org) offers a free and open path to network overview, discovery and exploration within the context of the familiar Excel spreadsheet.  In this short course we will introduce the NodeXL application and review the landscape of networks, social networks, and social media networks. Using the tool, non-programmers can quickly select a network of interest from various social media and other data sources.  Twitter, flickr, YouTube, email, the World Wide Web, and Facebook data can be quickly imported into NodeXL.  Networks can then be analyzed and visualized using tools similar to those used to create a pie chart or line graph [1].  As the challenge and cost of network acquisition and analysis drops, abundant data sets are being generated that document the range of variation of diverse sources of social media.  How many different kinds of Twitter hashtags exist?  Using snapshots of hundreds of hashtags collected over a year, it is now possible to build rough taxonomies of this kind of social media.  NodeXL provides access to a web gallery of data [2], allowing users to browse existing data sets and upload their own as well. Borrowing the vision of telescope arrays that create composite images far better than any individual instrument could, the Social Media Research Foundation envisions an user generated archive that provides a research asset that supports the collective effort to understand the structures and dynamics of network data.

[1] NodeXL Image Gallery: http://www.flickr.com/photos/marc_smith/sets/72157622437066929/
[2] NodeXL Graph Gallery: http://nodexlgraphgallery.org

Course Objectives
After this course, participants will:

(1) Be familiar with the basic concepts of networks, social networks and social media networks
(2) Understand the core features of the NodeXL network analysis and visualization tool
(3) Review images and data sets for dozens of different social media networks
(4) Learn to identify general types of social media networks along with the key people and groups within them

Target Audience
This course is suitable for people with some experience or interest in social media, social science, or social network analysis.  It is particularly appropriate for those who are involved in studying social structures and their change over time.

Laboratory and IT requirements:
Participants will need access to a computer connected to the Internet  and will be supplied with the free NodeXL software.

Suggested Reading
Analyzing social media networks with NodeXL: Insights from a connected world
http://www.amazon.com/gp/product/0123822297?ie=UTF8&tag=conneactio-20&linkCode=as2&camp=1789&creative=390957&creativeASIN=0123822297

EventGraphs:
http://www.cs.umd.edu/localphp/hcil/tech-reports-search.php?number=2010-13

Visualizing the Signatures of Social Roles in Online Discussion Groups:
http://www.cmu.edu/joss/content/articles/volume8/Welser/

Discussion catalysts in online political discussions: Content importers and conversation starters
http://www.connectedaction.net/wp-content/uploads/2009/08/2009-JCMC-Discussion-Catalysts-Himelboim-and-Smith.pdf

Analyzing (Social Media) Networks with NodeXL
http://www.connectedaction.net/wp-content/uploads/2009/08/2009-CT-NodeXL-and-Social-Queries-a-social-media-network-analysis-toolkit.pdf

Whiter the experts: Social affordances and the cultivation of experts in community Q&A systems
http://www.connectedaction.net/wp-content/uploads/2009/08/2009-Social-Computing-Whither-the-Experts.pdf

First steps to NetViz Nirvana: evaluating social network analysis with NodeXL
http://www.cs.umd.edu/~cdunne/pubs/Bonsignore09Firststepsto.pdf

]]> http://www.connectedaction.net/2011/11/05/november-8-2011-university-of-manchester-nodexl-sna-social-media-workshop/feed/ 0 http://www.connectedaction.net/2011/10/03/win-2011-nodexl-sna-twitter-map/?utm_source=rss&utm_medium=rss&utm_campaign=win-2011-nodexl-sna-twitter-map http://www.connectedaction.net/2011/10/03/win-2011-nodexl-sna-twitter-map/#comments Mon, 03 Oct 2011 19:00:45 +0000 Marc Smith http://www.connectedaction.net/?p=5095  

The Workshop on Information in Networks 2011 was held at NYU September 30-October 1st.

Over the course of the event a number of people tweeted using the hashtag #win2011.

These are the connections among the Twitter users who recently tweeted the word win2011 when queried on October 3, 2011, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another.

See: winworkshop.net/

Layout using the “Group Layout” composed of tiled bounded regions. Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color.

A larger version of the image is here:http://www.flickr.com/photos/marc_smith/6209064926/sizes/l/in/photostream/

Betweenness Centrality is defined here: en.wikipedia.org/wiki/Centrality#Betweenness_centrality

Clauset-Newman-Moore algorithm is defined here: pre.aps.org/abstract/PRE/v70/i6/e066111

Top most between users:

@sinanaral
@winworkshop
@barrywellman
@ladamic
@seanjtaylor
@drewconway
@chrisdiehl
@dylanwalker
@marc_smith
@ariegoldshlager

Graph Metric: Value
Graph Type: Directed
Vertices: 38
Unique Edges: 227
Edges With Duplicates: 193
Total Edges: 420
Self-Loops: 68
Connected Components: 1
Single-Vertex Connected Components: 0
Maximum Vertices in a Connected Component: 38
Maximum Edges in a Connected Component: 420
Maximum Geodesic Distance (Diameter): 3
Average Geodesic Distance: 1.836565
Graph Density: 0.194167852
NodeXL Version: 1.0.1.179

These are the connections among the Twitter users who tweeted the word win2011 when queried a few days earlier on September 30, 2011, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another.

A larger version of the image is here: www.flickr.com/photos/marc_smith/6198785387/sizes/l/in/ph…

Top most between users:
@sinanaral
@winworkshop
@ariegoldshlager
@drewconway
@chrisdiehl
@kateaanderson
@dylanwalker
@barrywellman
@kristinalerman
@pboothe

Graph Metric: Value
Graph Type: Directed
Vertices: 16
Unique Edges: 60
Edges With Duplicates: 45
Total Edges: 105
Self-Loops: 26
Connected Components: 1
Single-Vertex Connected Components: 0
Maximum Vertices in a Connected Component: 16
Maximum Edges in a Connected Component: 105
Maximum Geodesic Distance (Diameter): 3
Average Geodesic Distance: 1.617188
Graph Density: 0.270833333
NodeXL Version: 1.0.1.179

More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/
NodeXL is free and open and available from www.codeplex.com/nodexl
NodeXL is developed by the Social Media Research Foundation (www.smrfoundation.org) – which is dedicated to open tools, open data, and open scholarship.

I have enjoyed and been educated by my previous visits to South Africa and the Mobile Web in Africa conference, now in its 3rd year.

MWA gathers the many parts of the picture of mobile technologies in play across the African continent.

I will speak again at this year’s event, focusing on social media networks.  My partner is Walter Pike, a marketing professional with a specialty in digital media.

Here is the agenda for the workshop on Friday, November 25th.

Photos from the prior two years of Mobile Web Africa after the jump:

2010

2009

Summer Social Webshop
on
Technology-Mediated Social Participation
University of Maryland, College Park
August 23-26, 2011

Eventful.  The 2011 Webshop at the University of Maryland was certainly that with both an earthquake and a hurricane to mark the start and end of the event.  We really moved heaven and earth at this workshop.

In 4  days, 20 talks, 45 students, an earthquake, a hurricane and many new connections – the Webshop touched on a set of related concepts, methods, and findings about ways to use communication and computation technology to help groups, neighborhoods, cities, states, and nations work collectively towards common goals.

Several years ago a program at the University of Maryland called “Webshop” (Web Workshop) was organized by Professor John Robinson and held for three consecutive Summers.  I visited and spoke at two of these events and know many people who attended or spoke at one or more and remember the event enthusiastically.   The students who attended include some of the now leading researchers in the field of social science studies of the internet.  There is an impressive alumni list.

The last Webshop was held in 2003 and many years and significant changes have occurred in the time since. Twitter, Facebook, StreetView, iPad,FourSquare, Android, Kinect, EC2, Mechanical Turk, Arduino, were all new or non-existent when the first Webshops were run.  Today we have more reason than ever to focus on the details and patterns of computer-mediated human association. Ever more people channel more of their communications with others through more digital media, often of the social kind.  A new data resource for the social sciences is growing in scale and promise: from billions of events it is possible to start to build a picture of an aggregate whole, and to start to grasp the terrain and landscape of social media.

After many years of inactivity, the Summer Social Webshop (@Webshop2011) happened again!  With the generous support of the National Science Foundation and additional assistance from Google Research, on August 23-26, 2011 at the University of Maryland, College Park, a group of students heard and engaged with more than two dozen leading researchers exploring digital social landscapes from a variety of perspectives.  Organized by a collaboration between the University of Maryland’s Human Computer Interaction Laboratory (HCIL), the College of Information Studies, the Sociology and Computer Science Department, and the Social Media Research Foundation, the event gathered students from a wide range of disciplines to get a concentrated dose of advanced efforts to gather data from social media and people’s understanding and practices around digital technologies.   Doctoral students in computer science, iSchools, sociology, communications, political science, anthropology, psychology, journalism, and related disciplines applied to attend the 4-day intensive workshop on Technology-Mediated Social Participation (TMSP).  The workshop explored the many ways social media can be applied to national priorities such as health, energy, education, disaster response, political participation, environmental protection, business innovation, or community safety.  The workshop attracted graduate students at US universities studying social-networking tools, blogs and microblogs, user-generated content sites, discussion groups, problem reporting, recommendation systems, mobile and location aware media creation, and other social media.

-

Organizers

Alan Neustadtl (@smilex3md) - Sociology, University of Maryland
Jennifer Preece (@jenpre) – iSchool, University of Maryland
Marc Smith(@Marc_Smith) - Social Media Research Foundation
Ben Shneiderman (@benbendc) - Computer Science, University of Maryland
PJ Rey (@pjrey) - Sociology, University of Maryland, Student Coordinator

-

Photos

I will speak at Purdue University on September 22 and 23, 2011 about mapping social media networks.

My host is Sorin Matei, professor of Communications, who has been researching the social structure of social media networks.

I will also speak at Professor Matei’s class: COM 63200 On-line Interaction and Facilitation

Here is an example map of the connections among the people who tweeted the word “Purdue” on September 16th, 2011:

Connections among the Twitter users who recently tweeted the word Purdue when queried on September 16, 2011, scaled by numbers of tweets (with outliers thresholded). Connections created when users reply, mention or follow one another.

See: www.purdue.edu/

Layout using the “Group Layout” composed of tiled bounded regions. Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color.

(Edges connecting users are bundled and curved with recent features added to NodeXL v.177.)

A larger version of the image is here: www.flickr.com/photos/marc_smith/6155750905/sizes/o/in/ph…

Betweenness Centrality is defined here: en.wikipedia.org/wiki/Centrality#Betweenness_centrality

Clauset-Newman-Moore algorithm is defined here: pre.aps.org/abstract/PRE/v70/i6/e066111

Top most between users:
@lifeatpurdue
@jajuanjohnson
@stfu_gabby
@purdueexponent
@charliienosheen
@mbrister2
@boilerfootball
@purduesports
@hipandresanbo
@cheesebrrrrr

Graph Metric: Value
Graph Type: Directed
Vertices: 1000
Unique Edges: 4045
Edges With Duplicates: 706
Total Edges: 4751
Self-Loops: 977
Connected Components: 429
Single-Vertex Connected Components: 395
Maximum Vertices in a Connected Component: 528
Maximum Edges in a Connected Component: 4134
Maximum Geodesic Distance (Diameter): 12
Average Geodesic Distance: 3.517707
Graph Density: 0.003507508
NodeXL Version: 1.0.1.177

More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/

NodeXL is free and open and available from www.codeplex.com/nodexl

NodeXL is developed by the Social Media Research Foundation (www.smrfoundation.org) – which is dedicated to open tools, open data, and open scholarship.

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

Here is a map of the connections among the people who tweeted the term “AEJMC” on August 7, 2011:

The top most between people in this network are:@aejmc, @jlab, @karenrussell, @terryflynn, @natcomm, @tmccorkindale, @derigansilver, @tkell, @aejmconlineads, and @jeremyhl:

I will present a Workshop on Social Media Network Analysis and NodeXL at the 9 August 2011 – Association for Education in Journalism and Mass Communication (http://www.aejmc.com) in St. Louis, Missouri along with my colleague Professor Hernando Rojas, from the School of Journalism & Mass Communication, University of Wisconsin – Madison.

See: http://www.aejmc.com/home/events/annual-convention/

The Association for Education in Journalism and Mass Communication (AEJMC) is a nonprofit, educational association of journalism and mass communication educators, students and media professionals. The Association’s mission is to promote the highest possible standards for journalism and mass communication education, to cultivate the widest possible range of communication research, to encourage the implementation of a multi-cultural society in the classroom and curriculum, and to defend and maintain freedom of communication in an effort to achieve better professional practice and a better informed public.

Our session is:

Using NodeXL for Social Network Analysis
Tuesday — 2 pm to 5 pm
Presented by Communication Theory and Methodology Division
This pre-conference workshop examines social network analysis. Social network analysis can be used to examine message boards, blogs, and friend networks (amongmany other phenomena). Participants will learn to use the NodeXL program to conduct a network analysis. For information, contact Michel M. Haigh, Pennsylvania State University at mmh25@psu.edu.

Summer Social Webshop
on
Technology-Mediated Social Participation
University of Maryland, College Park
August 23-26, 2011

Several years ago a program at the University of Maryland called “Webshop” (Web Workshop) was organized by Professor John Robinson and held for three consecutive Summers.  I visited and spoke at two of these events and know many people who attended or spoke at one or more and remember the event enthusiastically.   The students who attended include some of the now leading researchers in the field of social science studies of the internet.  There is an impressive alumni list.

The last Webshop was held in 2003 and many years and significant changes have occurred in the time since.  Twitter, Facebook, StreetView, iPad, FourSquare, Android, Kinect, EC2, Mechanical Turk, Arduino, were all new or non-existent when the first Webshops were run.  Today we have more reason than ever to focus on the details and patterns of computer-mediated human association. Ever more people channel more of their communications with others through more digital media, often of the social kind.  A new data resource for the social sciences is growing in scale and promise: from billions of events it is possible to start to build a picture of an aggregate whole, and to start to grasp the terrain and landscape of social media.

The Summer Social Webshop (@Webshop2011) is happening again!  With the generous support of the National Science Foundation and additional assistance from Google Research, this August 23-26 at the University of Maryland, College Park, a group of students will hear and engage with more than two dozen leading researchers exploring digital social landscapes from a variety of perspectives.  Organized by a collaboration between the University of Maryland’s Human Computer Interaction Laboratory (HCIL), the College of Information Studies, the Sociology and Computer Science Department, and the Social Media Research Foundation, the event will gather students from a wide range of disciplines to get a concentrated dose of advanced efforts to gather data from social media and people’s understanding and practices around digital technologies.   Doctoral students in computer science, iSchools, sociology, communications, political science, anthropology, psychology, journalism, and related disciplines are invited to apply to attend this summer’s 4-day intensive workshop on Technology-Mediated Social Participation (TMSP).  The workshop explores the many ways social media can be applied to national priorities such as health, energy, education, disaster response, political participation, environmental protection, business innovation, or community safety.  The workshop should be of interest to graduate students at US universities studying social-networking tools, blogs and microblogs, user-generated content sites, discussion groups, problem reporting, recommendation systems, mobile and location aware media creation, and other social media.

For more information, please contact Alan Neustadtl (alan.neustadtl@gmail.com).

-

Photos

I will be speaking at the Oxford Internet Institute on July 13 and 14, 2011 as part of the Summer Doctoral Program.

I will speak about the use of social network analysis and visualization techniques to analyze and understand social media.

The Summer Doctoral Program is designed to

…bring together advanced doctoral students engaged in dissertation research relating to the Internet and other ICTs. By sharing their work and learning from leading academics in the field, students can enhance the quality and significance of their thesis research and create a peer network of excellent young researchers.

The 2011 Summer Doctoral Programme will draw substantially upon the OII’s research strengths and will involve participation from many of our faculty, together with colleagues from other partner institutions. It will emphasise methodological innovation and good practice in research design, and will expose students to the benefits of discussing their research in a multi-disciplinary teaching environment.”

I will be speaking at the Jacob T. Schwartz International School for Scientific Research week long Lipari School on Computational Social Science , July 17 – July 23, 2011, Lipari Island, Italy.

This year’s program is dedicated to Computational Social Science: Text and Decisions

Speakers:

• Claudio Cioffi-Revilla: Director of the Center for Social Complexity, Krasnow Institute for Advanced Study, George Mason University, Washington DC.
• Huan Liu: Community Detection and Mining in Social Media [abstract]
  School of Computing, Informatics, and Decision Systems Engineering, Arizona State University
• Roel Popping: Computer-assisted text analysis, and the relevance of decision making and text mining [abstract]
  Department of Sociology, University of Groningen

Tutorials

• Marc A. Smith: Charting Collections of Connections in Social Media: Maps and Measures with NodeXL [abstract]
  Chief Social Scientist, Connected Action Consulting Group
• Calogero Zarba: Introduction to matrix algebra [abstract]
  Neodata Intelligence s.r.l., Italy
• Alessandro Pluchino: Netlogo: An agent based simulation programmable environment [abstract], University of Catania, Italy

On 11 March 2011, I will be speaking at:

Organizational and Social Media Network Analysis:
Next Practices in Organizational Networks, Analytics and Media

Along with Valdis Krebs, Chief Scientist, http://thenetworkthinkers.com/

Valdis will be speaking about Organizational Network Analysis - Introduction to Enterprise Networks, followed by a InFlow 3.1 Workshop: Social Network Analysis with InFlow 3.1

I will be speaking about Social Media Network Analysis with NodeXL.

Preservation Park
1233 Preservation Park Way
Oakland, CA 94612
(510) 874-7580
(click for map)

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Mapping Social Networks with NodeXL:
Finding Direction in a Sea of Connection

The Community Foundation for Monterey County has a Social Network Support project that has already applied network analysis techniques to map networks of nonprofit organizations (http://www.cfmco.org/index.cfm/id/18/Social-Network-Support/). They recognize that awareness and improved methods of working in networks can provide opportunities for new ideas, increase information flow, and help systems change. Mapping networks is one method to assess the structure of communications and work patterns. As a result, the foundation is hosting a workshop on Friday, January 28th, that will focus on improving network effectiveness by creating maps with NodeXL, the free, open-source network mapping tool. The Community Foundation for Monterey County is generously opening the introductory workshop free to the community! The workshop is free but pre-registration is required (http://cfmcmapping.eventbrite.com).  If you do plan to attend, I encourage you to download NodeXL prior to the workshop and bring a Windows laptop as well as any data sets you already have and want to map during the workshop. NodeXL is compatible with Microsoft Office 2007 and 2010 and Windows XP, Vista, and 7. NodeXL is not compatible with Microsoft Office 2003 or Office 2008 for Mac.  It is possible to rent a low cost virtual Windows machines from Amazon and access them on a Mac using remote desktop (see: How to run NodeXL on a connected Mac (or other platform) using Amazon EC2). Of course, you may want to get the companion book: Analyzing social media networks with NodeXL: Insights from a connected world prior to the workshop as well.

If you cannot attend I believe there will be a video recording that will be made available shortly after the event.

This workshop is a hands-on guide to extracting and analyzing a social network graph (with NO programming). Using examples from Twitter, YouTube, Email, flickr, and participant submissions, we will review the steps needed to take a network graph from collection through analysis and visualization to insight. Learn to tell stories about key people and groups with network visualizations. Participants will receive an introduction to social network analysis and NodeXL; be able to import network data; create a network map; and generate an actionable insight from a network map.

NodeXL allows users to generate network maps by importing data from Microsoft Office Excel. Participants are encouraged to download NodeXL prior to the workshop and bring a laptop and data sets when they attend to use during the workshop.

NodeXL is available from: http://nodexl.codeplex.com/ and is a project managed by the Social Media Research Foundation with generous support from the Microsoft Research External Research Projects Group.

Friday, January 28, 2011
9:00 AM to 5:00 PM
Hartnell College
411 Central Ave
CALL 208 (Center for Assessment and Lifelong Learning)
Salinas, CA

An agenda is below and full workshop description is available at:

http://www.cfmco.org/index.cfm/id/111/Workshops-Professional-Development/

The workshop is free; however space is limited to 60.

A continental breakfast will be provided.

Participants are responsible for purchasing $1.00 Hartnell College parking permit.

The CALL Building is near the parking structure on Central Avenue near Villa Street.
http://www.hartnell.edu/about/hartnell_campus.html

Agenda

Morning session:

Introduction to social network analysis, examples and use of social network maps, intro to NodeXL.

Introduction to the history of social network analysis – how to “think link“.

Core vocabulary: node/vertex, link/tie/relationship, degree, centrality, core/periphery, bridge, hole, density.

Thinking by seeing.- Visualizing networks: pictures of collections of connections.

Networks are everywhere: biological, commercial, social, technical. How to extract the networks around you: how to build your own “edge list”.

Living in a sea of tweets, links, likes, views, reads, ratings, reviews, comments, connections, tags, ties, edits, plays, check-ins, contacts, friends, follows, favorites, Networks are newly self-documenting: machine readable connections now comprise the majority of our connections with one another, making our social worlds more available to analysis than ever before.

Introduction to NodeXL: mechanics of getting a graph open, analyzed and visualized.

Hands-on: how to analyze a social graph. Using examples from Twitter, YouTube, Email, flickr, and participant submissions, we take a graph from collection through analysis and visualization. Telling stories about key people and groups with network visualizations.

Afternoon session:

Extracting networks that matter to your organization: defining the nature of the nodes and edges in a graph is the fundamental question in network analysis. Who are the people, organizations, processes, entities that matter to you and how are they tied, connected, or linked? How to query your existing logs and data sets to extract useful network graphs.

Decorating network graphs: using size, color, transparency, visibility, images, and location to better tell a story with a network graph.

Filtering a network: revealing key structures and nodes. Use dynamic filters to remove edges and nodes from the graph to reveal only those who meet specific criteria. Use a range of attributes to limit the graph to remove clutter and occlusion.

Scheduling regular data collection with NodeXL. A guide to using the free and open data collector to schedule the creation of network data sets on a regular automatic basis.

Future directions for NodeXL: time series and graph comparison, additional data sources, web interfaces.

2010 - Sept - UC Davis CTSA SNA Community Engagement

CTSA Community Engagement and Social Network Analysis Workshop
September 22-24, 2010
University of California Davis
Clinical and Translational Science Center
Sacramento, California

OBJECTIVES

• Understand the basic concepts, tools, and techniques of Social Network Analysis (SNA) and how they relate to the evaluation of CTSAs and their impact on community research networks.
• Have sufficient exposure to a basic software tool for inputting and analyzing network data in order to undertake a simple social network analysis.
• Enumerate some possible uses of SNA and how to develop data collection tools or use existing sources to study the process and impact of CTSA on community engaged research.
• List primary authors of SNA analyses relevant to CTSA and community engaged research.

Presentation by Noshir Contractor from Northwestern University

10:30-Noon Demonstration of NodeXL Software

Marc Smith.

NodeXL is a free and open add-in for Excel that supports network overview, discovery and exploration. A contributor to NodeXL will provide basic instruction in its use, how to generate useful network statistics and metrics, how to create visualizations of network graphs and how to filter and display attributes that can be used to highlight important structures in networks.

1:00-1:45 Using NodeXL

Joe Hunt, MPH, Indiana University (with Marc Smith)

Using NodeXL to visualize interactions between investigators and CTSA key functions.

http://www.cs.umd.edu/hcil/soh/

The HCIL Government Applications of Social Media Networks &
Communities Workshop, as part of the 27th Annual Human Computer Interaction Lab (HCIL) Symposium, at the University of Maryland, examined how social media can be systematically applied to increase civic participation on national priorities.

When: Friday, May 28, 2010, 9:30am-4:00pm
Where: CSIC Building, UMD, College Park
Who: Government thought leaders, system developers, and agencies; industry partners, researchers, and students

Photo by Ben Shneiderman

Front row (left to right): Brad Hesse, Betsy Rebert, Claudia Louis,
Vladimir Barash, Derek Hansen, Robin Naughton.
Middle row: Scot Golder, Rex Robison, Yan Qu, Joe Pringle, Natasa
Milic-Frayling, Amanda Shanor, Leonard Lidov, Laura Milner
Back row: Robert Altiero, Mark Edson, Keith Walker, Tim Clausner, Marc
Smith, Nick Violi, Brian Dennis, Manuel Freire, John Bertot, Derrick
Cogburn, Jennifer Preece, Francy Stilwell

Not pictured: Ben Shneiderman

The Friday, May 28th all day event focused on the use of social media data in improving the quality of government.

May 28th, 2010: Government Applications of Social Media Networks and Communities
Derek Hansen, Marc Smith, Jenny Preece, Ben Shneiderman
Federal, state, and local governments are discovering interesting and ambitious ways that social media can be used to increase civic participation in decision-making, health-care /wellness, energy sustainability, education, disaster response, community safety, scientific research, etc. This workshop will invite attendees to present current projects, design strategies, evaluation methods, and analytic tools. Issues such as universal accessibility & usability, privacy protection, and reliability will be discussed.

Attendees …
• discussed interesting and ambitious ways that federal, state, and local governments are using social media in decision-making,healthcare/wellness, energy sustainability, education, disaster response, community safety, scientific research, etc.

• explored how analytic tools like NodeXL (http://nodexl.codeplex.com/) can help systematically analyze social media initiatives and mine social media sites for useful information.

• identified the unique challenges of using social technologies in a government context and design strategies and policies that help overcome those challenges

Participants included:
• Vladimir Barash, Doctoral student, Information Science, Cornell University
• John Bertot, Professor, iSchool, UMD
• Derek Hansen – Assistant Professor, iSchool, UMD and director of Center for the Advanced Study of Communities and Information (CASCI)
• Scott Golder, Doctoral student, Sociology, Cornell University
• Bradford Hesse, Chief of the National Cancer Institute’s Health Communication and Informatics Research Branch (HCIRB)
• Natasa Milic-Frayling, Principal Researcher, Microsoft Research Cambridge
• Cynthia Parr, Director, Special Pages Group, Encyclopedia of Life, Smithsonian
• Jenny Preece – Dean, iSchool, UMD.
• Ben Shneiderman – Professor, Department of Computer Science, UMD, and founder of the Human Computer Interaction Lab (HCIL).
• Marc Smith – Chief Social Scientist, Connected Action Consulting Group, director of the Social Media Research Foundation

Slides available from:

http://www.cs.umd.edu/hcil/soh/workshop_hansen.shtml

Schedule

8:30 – 9:30am: registration and continental breakfast

9:30am: Introductions

10:00am: “Technology-Mediated Social Participation: Promoting a Research Agenda” Ben Shneiderman & Jenny Preece, University of Maryland

10:30am: “Enabling Citizen Mapping of Government Networks with NodeXL” – Marc Smith & Derek Hansen, Connected Action and University of Maryland

10:50am: Break

11:00am: “Open Government, Social Media, and Information Policy: Constraints and Barriers” – John Bertot, University of Maryland

11:20am: “New Approaches to Collecting Public Input Online” – Joe Pringle, Forum One Communications

11:40am: “Visualizing Social Data to Improve Diplomacy” – Leonard Lidov, Morningside Analytics

12:00 – 1:00pm: lunch

1:00pm: “Using New Media for Citizen Engagement: Experiences from the General Services Administration” – Leilani Martinez, Center for New Media & Citizen Engagement, U.S. General Services Administration (GSA)

1:30pm: “Supporting Lifelong Learning & Institutional Transformation with New Media” – Michael Edson, Web and New Media Strategy, Smithsonian Institution

1:50pm: “Says who? Legitimacy in Online Collective Action: Enthusiasts and Interest Groups in Wiki Government” – Scott Golder & Vladimir Barash, Cornell University

2:10pm: “From Research of Social Media to Socially Mediated Research” – Natasa Milic-Frayling, Microsoft Research, Cambridge UK

2:30pm: Break

3:00pm: “Health 2.0: Putting the Power of Open Science to the Task of Improving the Nation’s Health” – Bradford Hesse, Health Comm & Informatics Research Branch, National Cancer Institute

3:20pm: Wrap-up discussion

4:00pm: Depart

Technology-Mediated Social Participation: Promoting a Research Agenda

Jenny Preece and Ben Shneiderman, University of Maryland

With support from the National Science Foundation, we have run two research agenda-setting workshops that clarify how social media can address national priorities.  The first, in Palo Alto, CA engaged companies and the second in the Washington, DC area reached out to government agencies.  Our report will describe the national priorities that can be addressed, deep science theories, technology challenges, and scope of educational changes needed in K-12, universities, professional training, and citizen awareness.

Enabling Citizen Mapping of Government Networks with NodeXL

Marc Smith & Derek Hansen, Connected Action Consulting Group and University of Maryland

Social network analysis can serve as a powerful analysis and visualization method to understand connections between people and institutions. Until recently, only those with advanced degrees and technical know-how have been able to perform social network analysis. We will introduce NodeXL, a plugin for Excel 2007, that allows non-technical experts perform social network analysis, particularly of social media networks of interest. We will discuss applications of NodeXL to government data and social media initiatives.

Open Government, Social Media, and Information Policy: Constraints and Barriers

John Bertot, University of Maryland

Much movement and discussion surrounds the use of social media technologies by the federal government in order to create a more open, transparent, and participatory government.  Since the inauguration of the Obama Administration, government agencies have been required to engage in open dialogs, create open government plans, and otherwise use a range of social media technologies.  But these efforts belie an antiquated and contradictory information policy environment that hampers innovation and use of a range of participatory technologies by government agencies such as twitter, facebook, and YouTube.  Though agencies currently are using these technologies, there are a number of policies (e.g., laws, memos, administrative code) that prevent agencies from truly engaging in innovative uses and practices through social media technologies.  This presentation identifies selected policy conflicts and considerations that need resolution for federal government agencies to be able to successfully engage the use of participatory technologies.

New Approaches to Collecting Public Input Online

Joe Pringle, Forum One Communications

Federal government agencies are experimenting with social media, crowdsourcing, and other collaborative approaches to soliciting, collecting, and responding to public input.  This includes everything from formal rulemaking comment collection to ideascale events to online brainstorms such as USAID’s recent Global Pulse event.  Chris will highlight common online approaches to using social media and collaborative approaches for collecting input, provide some examples about who is doing what, what’s working, what’s not working, and why.

Visualizing Social Data to Improve Diplomacy

Leonard Lidov, President, Morningside Analytics

This talk will focus on how Dr. Lidov’s firm, Morningside Analytics, uses data visualization to understand public diplomacy, both in and outside government.  Morningside’s signature “dot-maps” picturing “Attentive Clusters” in the blogosphere have been featured in the media and opened business development doors in DC (http://online.wsj.com/article/SB124658422588090107.html ), but they are just one of several innovative approaches the firm uses to help clients understand how its network analyses can improve their understanding of how messages move in the online “Link Economy.

Using New Media for Citizen Engagement: Experiences from the General Services Administration

Leilani Martinez, Center for New Media & Citizen Engagement, U.S. General Services Administration (GSA)

This presentation will discuss several new media initiatives overseen by the Center for New Media & Citizen Engagement, part of the General Services Administration of the federal government. These will include discussions of developing tools, methods, and best practices related to using new media by government to engage citizens. Examples will include a citizen engagement tool used by 23 agencies to gather input for their open government plans, the Citizen Engagement Platform, and FedSpace, a secure intranet and collaborative workspace for government employees and contractors.

Supporting Lifelong Learning & Institutional Transformation with New Media

Michael Edson, Director of Web and New Media Strategy, Smithsonian Institution

The Smithsonian Institution’s Web and New Media Strategy that talks about an updated digital experience, a new learning model that helps people with their “lifelong learning journeys,” and the creation of a Smithsonian Commons-a new part of the Smithsonian’s digital presence dedicated to stimulating learning, creation, and innovation through open access to Smithsonian research, collections and communities. This talk describes the commons concept in the context of 21st century knowledge creation and the methods and drivers of organizational change.

Says who? Legitimacy in Online Collective Action: Enthusiasts and Interest Groups in Wiki Government

Scott Golder and Vladimir Barash, Cornell University

With the expansion of the World Wide Web, online communities have emerged focused on government and civic activities. These communities allow a wide user base to participate in everything from election campaigns to opinion polls to the legislative process (by making it easier for individuals to interact with members of local, state and federal government). The emergence of these communities has led to a greater citizen participation but has also opened up new venues for special interest groups to sway public opinion. For instance, politically oriented communities (dailykos, the free republic) advertise links to popular opinion polls and encourage their members to vote in such polls en masse, creating a cascade of skewed opinion. We explore the issues related to creating venues of open (often unregulated) online participation in the government process, and the role special interest groups play in these venues.

From Research of Social Media to Socially Mediated Research

Natasa Milic-Frayling, Principal Researcher and Director of Research Partnership, Microsoft Research, Cambridge UK

We are witnessing the ultimate assimilation of computing technology by the masses: millions of online users have adopted social media as part of their daily routine. At the same time, researchers are striving to understand the principles of sustaining social media and the implications the new practices have on research itself. In this presentation we discuss insights about two important aspects. First is the delicacy of social media design where seemingly small changes can cause a dramatic difference in the character of the online community. This applies to both UI features that facilitate interaction and the reward mechanism that administrators introduce to motivate specific behaviours. Second is the emergence of new methodologies that leverage the principles of social media. They are adopted by groups of individuals to achieve their common objectives. We illustrate how, for example, the issue of scale can be addressed through the use of games to mobilize a community of practice.

Health 2.0: Putting the Power of Open Science to the Task of Improving the Nation’s Health

Bradford Hesse, Chief, Health Comm & Informatics Research Branch, National Cancer Institute

I will present a workshop on social media network analysis at the next Network Singularity event at Fort Mason on the Bay in San Francisco on April 30, 2010.

Bay Area and Silicon Valley Network: Special Action/Research Event

Social Media Network Analysis: Next Practices in Social Network Analysis, Tools and Media

Friday 30 April 2010
8:00am -5:00pm
http://www.regonline.com/BAN10
Workshop Abstract
Why do some social media and online groups succeed when others fail? How do different collections of online media and populations of authors and users differ from one another? How do patterns of contribution vary? How do these differences illustrate the roles people play within their communities?

Patterns of contribution and connection determines social media success. Visualizing these network patterns aids implementation, adoption, security and effectiveness of social media. A range of Internet social media including discussion groups, Twitter, enterprise social media, communities-of-practice, blogs and email are presented, analyzed and visualized. Network patterns are explored to illustrate the scope of variation among social media repositories and between types of contributors.

Maps and patterns of interaction deliver a far more comprehensive view of social media. These views generate actionable findings to improve social media effectiveness, syndication and collaborative outcomes. Network analysis and intelligence can guide community cultivation, coordination and development tasks. New network capabilities provision features that improve search, ranking and consumption of user generated content.

A freely available, open source tool will be demonstrated to perform basic social media network analysis for contemporary social media that should be relevant to business models and organizations of all types. Delegates will be equipped to use social network techniques to improve overall effectiveness and impact of social media, communities-of-practice and social software applications. Participants may expect to achieve immediate improvements in key business activities such as marketing, sales, engineering, support, service, innovation and overall organizational effectiveness.

Directions

Along with my colleague Eduarda Mendes-Rodriguez I will be speaking at the University of Porto next Friday, March 26th.

Hands-on Workshop – Social Media Network Analysis in NodeXL

This workshop provides an overview of Social Network Analysis (SNA) and its application to social media. The network or directed graph is a common structure in a wide range of different kinds of social media. Social Network Analysis is a set of tools, concepts, and techniques that can help measure a graph and the location and connection pattern of each component part.

Using NodeXL, workshop participants will learn how to take data from common social media sources (including enterprise discussions and online communities, Twitter, Flickr, your own email) and perform various types of analysis. Through this workshop, participants will:

· be able to understand the basics of SNA, its terminology and background.
· be able to transform communication data (e.g. Twitter, email, Flickr, message boards etc.) into network data.
· understand the different possible presentations of social networks, e.g. in a matrix or a sociogram.
· apply network metrics and visualizations to find clusters and key contributors in real world social media data.
· get familiar with the use of standard SNA tools and software in general and the NodeXL social network analysis add-in for Excel in particular.
· be able to derive practical and useful information through SNA analysis that would help design an innovative and successful online community.

Registration: http://smanalysistwitter.eventbrite.com/

For example, this is a map of the population of people who recently mentioned “NodeXL” in Twitter.

I see a large cluster of French speaking people who recently picked up on a tweet:

seekoeur: [Blog] Identifier des communautés et cartographier des relations sur Twitter avec NodeXL http://www.seekoeur.com/?p=854

This is a very distinct group from the second cluster around my own account and the recently created NodeXL twitter account.

In contrast, this is the map of all the people who mentioned the keyword “SharePoint” recently in Twitter.

This is clearly a much larger population and one with a dense core of highly connected individuals.  A number of peripheral groups surround the core.  Drilling in can reveal who the center of the center of the network is, a potentially highly influential person.

On October 29th, I will be offering a workshop in Mountain View, California on the application of social network analysis to the measurement of social media.

The workshop will run from 9m to 4pm and include hands-on exercises using real world social media data sets and the free and open NodeXL social network analysis add-in for Excel 2007.  We will create social network metrics and visualizations from personal email, twitter, facebook, and message board records to reveal the broad outline of a community, its various kinds of leaders and active participants, major cliques and clusters, and pivotal events.

The workshop will make use of the NodeXL tutorial:
http://casci.umd.edu/NodeXL_Teaching

Registration at:
http://www.eventbrite.com/event/386418789

I will post the slides for those who cannot attend, but the live event will allow me to help those interested in learning how to visualize social media networks and generate and interpret social network metrics.  What’s an “eigenvector centrality”?  Come find out why that number highlights special people in a network and how to calculate it on your own network data sets.  Find experts, identify the people who are most heavily connected, and key contributors. If you plan to attend, it would be great if you bring sample data: any edge list or matrix is fine.  We can plot and measure sample data participants bring along with them.

I will demonstrate how to create twitter network maps like the one above which shows networks of follows connections among a group of people who tweeted the string “#CHI2010″ (as returned by search.twitter.com).  You can make your own twitter maps with NodeXL!  Similar maps can be made with a user name. In the workshop we will be sure to make a twitter network for anyone there who tweets.

Upon completion of this workshop, participants will:
* be able to understand the basics of SNA, its terminology and background.
* be able to transform communication data (e.g. Twitter, email, flickr, message boards etc.) into network data.
* understand the different possible presentations of social networks, e.g. in a matrix or a sociogram.
* apply network metrics and visualizations to find clusters and key contributors in real world social media data sets.
* get familiar with the use of standard SNA tools and software in general and the NodeXL social network analysis add-in for Excel in particular.
* be able to derive practical and useful information through SNA analysis that would help design an innovative and successful online community.

Who should attend? People interested in community management, social media monitoring and marketing, knowledge management, collaboration and human resources, legal discovery, organizational behavior and management

Registration.

View Larger Map

Other Maps:
Yahoo | Mapquest | Microsoft

On August 5th and 6th I led a workshop with Martha Russell on social network analysis of social media as part of the Stanford Media X Summer Institute on New Metrics for New Media: Analytics for Social Media and Virtual Worlds this Summer.

New Metrics for New Media:  Analytics for Social Media and Virtual Worlds
Organizers:  Martha Russell, Marc Smith
August 5-6

Social media and virtual worlds offer two important frontiers for measuring earned engagement. In both, audiences are actively engaged as participants. This workshop covered foundational concepts in media measurement, describe new frontiers in measuring audience engagement in social media and virtual worlds, and provided hands-on experience in using new analytical tools.

This session also provided a walk through the basic operation of NodeXL, including generation of social networks from social media data sources like personal e-mail (drawing data from the Windows Desktop Search engine) and the Twitter social network micro-blogging system. Arbitrary edge lists (anything that can be pasted into Excel) can be visualized and analyzed in NodeXL. Attendees were encouraged to bring an edge list of interest. Sample data sets were provided.

Video about the New Media for New Metrics Workshop

Agenda WEDNESDAY, August 5: #124 Wallenberg Hall

08.30 – 09.00 – Welcome, Introductions & Overview

Martha Russell, Director, Media-X, Stanford University
Marc Smith, Internet Sociologist, Connected Action Consulting

Martha spoke about the changing media landscape and the need to measure new media in the mix of media consumption measurements.  She suggests that old measures may not always fit new media and that new media offer new opportunities (and challenges) for measurement.  Martha runs the Media-X program at Stanford that ran the workshop.

09.00 – 10.00 – The MEdia Generation (and others): Trends in Media Multitasking in the US and China

Don E. Schultz, Northwestern University Agora-IMC, Inc, BigResearch

Professor Schultz teaches marketing and communication at Northwestern University.  He runs a series of surveys about media consumption in the US and in China.  The results show people consuming multiple media at the same time, but not in the same mix (China uses mobile more than desktop).

10.30 – 11:30 – Panel: Metrics for Management Decisions

Moderator: Martha Russell, Media X at Stanford University

Richard Rommel, Senior VP Emerging Business, Best Buy
Blaine Baggett, Executive Manager, Office of Communication and Education
Jet Propulsion Laboratory, NASA
Louis-David Mangin, GrinShot
Maury Giles, Founder, Pursuit

Richard Rommel (Best Buy) discussed their Twitter strategy and commercials.  Best Buy now features their employees as a service via twitter to all askers and features that in their TV commercials.

JPL in Pasadena is using the web to push the “science is cool” (and fundable) message to all who will listen.  When NASA lands something on Mars its the JPL that gets the huge traffic spike.  They are opening up conversations between researchers and the public and increasing the surface area for science media.

11:30 – 12:00 – Synergies Between Search and Social Metrics

David A. Shamma, Yahoo Research

Ayman spoke about measuring engagement in a Yahoo Messenger video sharing and chat feature.  He found that chat activity spikes during the credits.  Except in Japan where strings of “wwwwwwwwwwwww” denote laughter and continue through out a shared video session.

Ayman also did a study of Twitter usage during last year’s political debates.  He found the chat did not echo the terms used in the debate.  Chat activity also spiked after the debate.

13:00 – 14:00 – Measuring Social Media & Digital WOM

Michael Wu, Chief Scientist, Lithium

Michael presented the ingredients of the Lithium Community Health Index which (pictured) includes the notion of interactivity (speed to reply).

14:00 – 15:00 – Panel: Metrics for Moderating and Managing Communities

Moderator: Marc Smith, Internet Sociologist, Connected Action Consulting

Sameer Patel, Pretzel Logic
Gail Ann Williams, Director of Communities, Salon.com

Gail and Sameer focused on the ways they directly manage communities in a commercial environment.  Gail tuns the community for Salon’s Table Top and Well social spaces.  She runs fee based spaces that require customer retention (but sometimes wish they could selectively apply customer ejection!).

Sameer consults on the selection and use of enterprise social media.  He focused on the metrics his customers want to see in an internal deployment, focused on usage and connection rates among users.

15:15 – 17:00 – Social Network Analysis Tutorial: Part 1
Concepts, Data, & Tools for Producing the Social Graph

Marc Smith, Internet Sociologist, Connected Action Consulting

I showed the slides previously presented at the Catalyst Conference, this time in a longer form at the workshop: http://www.slideshare.net/Marc_A_Smith/2009-catalyst-conference-social-media-research slides focuse on the use of social network and activity analysis to identify key contributors in social media spaces.

17.00 – 17.30 – Discussion: Navigating the Terms in Social Media Metrics

Moderator: Don Schultz

———————————————–
Agenda THURSDAY, August 6: #124 Wallenberg Hall

08.30 – 09.30 – Patterns of Mobile Media Advertising–Taking 3G Portals as an Example

Chunlin Duan, South China University of Technology Profit

Professor Duan is Dean of the School of Communication at South China University of Technology.  She described mobile device usage in China (huge!) and the major focus on IM, chat, and message boards, along with the dominance of QQ and its virtual goods and currency.

09.00 – 09:30 – Cell Phone Usage in Japan for Social Networking and Advertising

Neil Rubens, University of Electro-Communications, Tokyo

When toddlers have cell phones mobile device penetration is high!  Japan is highly mobile (although on its own island of technology) and using social network services via their devices.

09:30 – 10.30 – Panel: Emerging Metrics for Virtual Worlds & Immersive Environments

Moderator: Greg Nuyens, Qwaq Forums
Gene Yoon, Former CFO, Second Life
Parvati Dev, Innovations in Learning
Henrik Bennetsen, Stanford Humanities Lab

Gene Yoon is the former CFO of Second Life, he spoke about the use of metrics in his business.  He focused on engagement as the behavior he wanted to measure.

Parvarti Dev is a former Stanford Professor using virtual reality social worlds to role play emergency room procedures among nurses and doctors.

11:00 – 12:00 – Trends in Metrics for Self Monitoring

Gary Wolf, Sr. Editor, WIRED

Gary is documenting the emerging world of the “Quantified Self” – people using mobile devices with sensors and networks to collect detailed records of their own behavior and medical vital statistics.  These data sets, in aggregate, may reveal new insights for evidence based medicine, self improvement, and public safety.

13:00 – 15:30 – Social Network Analysis Tutorial: Part 2

Concepts, Data, & Tools for Filtering and Decorating the Social Graph

Marc Smith, Internet Sociologist, Connected Action Consulting

A step-by-step guide to creating, analyzing, and visualizing a social network.

16:00 – 16:30 – Discussion and WrapUp: Gleaning Meaning from Measurements

Moderator: Martha Russell

]]> http://www.connectedaction.net/2009/09/12/recently-stanford-media-x-workshop-new-metrics-for-new-media-analytics-for-social-media-and-virtual-worlds/feed/ 0 http://www.connectedaction.net/2009/06/17/june-24th-nodexl-tutorial-with-derek-hansen-at-communities-and-technologies-2009-penn-state-university/?utm_source=rss&utm_medium=rss&utm_campaign=june-24th-nodexl-tutorial-with-derek-hansen-at-communities-and-technologies-2009-penn-state-university http://www.connectedaction.net/2009/06/17/june-24th-nodexl-tutorial-with-derek-hansen-at-communities-and-technologies-2009-penn-state-university/#comments Wed, 17 Jun 2009 22:31:47 +0000 Marc Smith http://www.connectedaction.net/?p=1443

Penn State hosts C&T 2009

Derek Hansen (University of Maryland) and I will be running a workshop as part of the Communities and Technologies conference next week in University Park, PA. We have room for additional participants. If anyone is interested, please email me (marc.smith@telligent.com) or Derek (shakmatt@gmail.com). If there is sufficient interest by those in the DC or Bay Area we could potentially arrange for a similar workshop closer to home. We are particularly interested in reaching instructors who may be teaching social network analysis or courses on social media in the Fall of 2009 and have a tutorial we have developed to aid in that process. The tutorial is being updated, but here is the old version (which still is useful!).  We will distribute the updated version at the conference and thereafter here on the blog and the NodeXL codeplex site.

Title: NodeXL: Social Network Analysis and Visualization tools for Social Media
Date/Time: Wednesday, June 24, 8:30am through early afternoon
Place: Penn State University, University Park, PA

(http://cct2009.ist.psu.edu/index.cfm)

This session will provide a walk through the basic operation of NodeXL. Attendees are encouraged to bring an edge list of interest. Sample data sets will be provided. To download the NodeXL add-in and slides, go to:
http://www.codeplex.com/NodeXL