Feb 23 Talk at Personal Digital Archiving 2012 at the Internet Archive, San Francisco: Arc-chiving: saving social links for study

02JanMay 7, 2015 By Marc Smith

I will present a talk at Personal Digital Archiving 2012 titled “Arc-chiving: saving social links for study“.

The conference will be held on Thursday-Friday, February 23-24, 2012 at the Internet Archive in San Francisco.

News and updates on the conference will be posted at the conference web site, http://personalarchiving.com.

My talk this year will focus on collecting and analyzing connections between digital objects (like users) and the insights these tools make possible.

Abstract: While digital content is archived in various ways, the “arcs” or links among people and their digital objects are not systematically saved. Efforts to store social media often overlooks including data about collections of connections. The Social Media Research Foundation is dedicated to open tools, open data, and open scholarship related to social media. It is producing tools that can collect, analyze and upload social media data, including the arcs that link people and objects. Using the free and open NodeXL application, users can collect, analyze and visualize complex networks and then upload the data to a growing archive on the web at NodeXLGraphGallery.org. As the group of researchers grows, an archive is being assembled to provide researchers around the world with the data about social media needed to understand the ways computer mediated communication tools shape society.

My talk at the 2011 Personal Digital Archiving conference is available through the Internet Archive’s video service:

Event: LocalSocialSummit11 and Social Media Research Foundation Reception November 10th, 2011

28OctMay 7, 2015 By Marc Smith

On November 9th and 10th, 2011 the LocalSocialSummit11 will be held in London.

On Thursday morning, November 10th, Doctor Bernie Hogan from the Oxford Internet Institute and member of the Social Media Research Foundation will speak on the topic:

Insights: Social Network Analysis On Facebook Data, with a local twist

Thursday at 3:45 I will speak at the event on:

Charting Collections Of Connections In Social Media

Following the conference from 5 to 6pm will be a reception for the Social Media Research Foundation.

Please join us for refreshments and a discussion of the ways social media analysis tools can guide your engagement with stakeholders around the world.

The event is held at wallacespace:

22 Duke’s Road, London, WC1H 9PN
t +44(0)20 7395 1265
f +44 (0)20 7836 9591
e ask@wallacespace.com

22 Duke’s Road is only minutes walk away from Euston, St Pancras International, King’s Cross and Russell Square Tube.

Registration form for attending the event is below….
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November 3, 2011: Seoul, South Korea – International Symposium on Convergence Technology (ConTech 2011)

22OctMay 7, 2015 By Marc Smith

I will speak at the International Symposium on Convergence Technology (ConTech 2011) – Smart & Humane World – on November 3rd in Seoul, South Korea.

Date: 2011 November 3 (Thurs)
Place: COEX Grand Ballroom, Seoul, Korea
Organized by Advanced Institutes of Convergence Technologies (AICT), Seoul National University (SNU)
In Cooperation with Ministry of Knowledge Economy, Ministry of Education, Science and Technology, National Research Foundation of Korea, Graduate School of Convergence Science and Technology (GSCST)
Symposium Chair : Choi, Yanghee (President, AICT)

Program
09:00~09:30 Registration
09:30~10:00 Opening Ceremony
Plenary Session : Smart & Humane World through Convergence
10:00~10:40 Speaker (TBD)
10:50~11:30 Speaker (TBD)
11:30~13:00 Lunch
Session 1 : Bio Convergence (Chair : Prof. Kim, Sunghoon)
Session 2 : IT Convergence (Chair : Dr. Lee, Manjai)
Session 3 : Appropriate Technology (Chair : Prof. Kang, Namjun)
13:00~15:00 Scott A. Strobel (Professor, Yale University)
Speaker Kevin Kim (Professor, University of Illinois)
Speaker Masaru Kitsuregawa (Professor, Tokyo University)
Speaker Haesun Park (Professor, Georgia Institute of Technology)
Speaker Marc Smith (Connected Action)
Speaker Sang-goo Lee (Professor, Seoul National University)
Speaker Haklae Kim (Samsung)
Speaker Raghu Ramakrishnan (Yahoo)

My slides: 20111103 con tech2011-marc smith

View more presentations from Marc Smith.

I will also visit Professor Han Woo Park at YeungNam University (Wikipedia) in Daegu, South Korea to meet with his students in the Webometrics Institute program.

This will be my second trip to Korea, I was there last year for a related event. Pictures after the jump:

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October 19-20, 2011: NYC – Predictive Analytics World: Network Maps for End Users: Collect, Analyze, Visualize and Communicate Network Insights with Zero Coding

17OctMay 7, 2015 By Marc Smith

I presented on social media network analysis on October 20, 2011 in New York City at Predictive Analytics World.

A map of the connections among the people tweeting about the #Pawcon hashtag is below.

Network Maps for End Users: Collect, Analyze, Visualize and Communicate Network Insights with Zero Coding

Abstract: Networks are everywhere except the end user desktop. NodeXL, the free and open network overview, discovery and exploration add-in for the popular and familiar Excel (2007/2010) spreadsheet allows users who are comfortable making pie charts to now make useful network visualizations. Developed and released by the Social Media Research Foundation, NodeXL uses Excel as a framework, providing a GUI network browser (a “web browser”?) that novices can use quickly and experts can use to generate sophisticated results. Data importers provide access to a range of social media network data sources like Twitter, flickr, YouTube, Facebook, email, the WWW, and more through standard file formats (CSV, GraphML, Matrix). Simple to use tools can automatically analyze, visualize and highlight insights in complex network graphs. Using NodeXL, researchers have been collecting a wide range of network data sets from various social media services. These images reveal a range of common social formations in social media and point to people who occupy strategic locations in these graphs.

This is a map of the connections among the people who tweeted the term “PAWCON” on the first day of the event:

[flickr id=”6261006732″ thumbnail=”medium” overlay=”true” size=”large” group=”” align=”none”]

These are the connections among the Twitter users who recently tweeted the word #pawcon when queried on October 19, 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/6261006732/sizes/l/in/ph…

Top most between users:
@tapan_patel
@pawcon
@sasanalytics
@deloitteba
@kristinevick
@jamet123
@zementis
@kdnuggets
@tibcospotfire
@saspublishing

Graph Metric: Value
Graph Type: Directed
Vertices: 41
Unique Edges: 233
Edges With Duplicates: 120
Total Edges: 353
Self-Loops: 44
Connected Components: 2
Single-Vertex Connected Components: 1
Maximum Vertices in a Connected Component: 40
Maximum Edges in a Connected Component: 352
Maximum Geodesic Distance (Diameter): 4
Average Geodesic Distance: 1.87133
Graph Density: 0.15304878
NodeXL Version: 1.0.1.179

Here is an example map of the connections among the people who tweeted the term “pawcon” in Twitter on September 14th, a week prior to the event.

[flickr id=”6274836259″ thumbnail=”small” overlay=”true” size=”large” group=”” align=”none”] [flickr id=”6274836151″ thumbnail=”small” overlay=”true” size=”large” group=”” align=”none”]

Manu Sharma, Principle Research Scientist at LinkedIn gave a great presentation on the patterns found in their data. Big data, for example, showed that most of the people who previously worked at recently failed banks and financial institutions have updated their profiles to show that they mostly have new jobs at some of the remaining companies in the industry.

The event was held at the New York Hilton: Maps & Directions

September 22-23, 2011: Purdue University – Lecture on Social Media Networks

16SepMay 7, 2015 By Marc Smith

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.

Please vote on our SxSW panel: Social Mapping: Bridging Online & Offline Events

15AugMay 7, 2015 By Marc Smith

Please vote on our SxSW 2012 panel:

Social Mapping : Bridging Online & Offline Events
Event	Interactive 2012
Format	Workshop
Organizer	Emily Gannett ‐ IRL Productions
Speakers	Marc Smith ‐ Social Media Research Foundation
Description	Look up from your phone and you will notice that offline is not obsolete. Experiences in real life (IRL) remain powerful and memorable. Online tools and social platforms are now thoroughly integrated into “offline” life on smart devices in every meeting, conference, or gathering. Marketers can now tie online and offline activity together, mapping online discussions and offline connections to spur awareness, connections, and lasting conversations. Featuring insight from the Social Media Research Foundation and case studies from some of the world’s top brands, this intermediate workshop will teach techniques for integrating social media and emerging technologies with events and experiential marketing campaigns. We’ll illustrate free and open tools for collecting, analyzing and visualizing patterns of how people engage with your topic using various social media channels like Facebook, Twitter and Foursquare. We will review how to augment face-to-face interactions, and present case studies of interactive events that fit cohesively into established online and offline marketing campaigns. Maps of the connections that form when people communicate can reveal the key people and groups who act as your brand influencers. Learn how to make maps of your own, with no programming skills required, to guide your own engagement with stakeholders, online and off.
Questions Answered	How can marketers leverage digital media to increase the value of experiential marketing? How can they create breadth and impact beyond the transaction? What are the best new platforms and tools to leverage? What was your favorite integrated campaign this year? Which brands did an excellent job of incorporating social media at events and weaving digital throughout? What social media data can be collected at events and conferences? What can you do to better understand your customers through this information? What are the best ways to compare online and offline metrics? Do we need new standards?
Level	Intermediate
Category	Branding / Marketing / Advertising
Tags	Events, Metrics, social media

Thanks for your vote for our SxSW panel!

July 13-14, 2011 – Oxford Internet Institute Summer Doctoral Program: NodeXL Workshop

27AprMay 7, 2015 By Marc Smith

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.”

July 17 – July 23, 2011 – NodeXL Session at Computational Social Science Workshop, Lipari Island, Italy

25AprMay 7, 2015 By Marc Smith

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

Video: Talk at Personal Digital Archives 2011 at the Internet Archive (24 February 2011)

21MarMay 7, 2015 By Marc Smith

I gave a talk at the Personal Digital Archives conference held at the Internet Archive in San Francisco, California on 24 February 2011. The videos of the talks at the event are now available from the Internet Archive web site.

Here is a NodeXL map of the connections among the people who tweeted the term PDA2011 OR PDA11:

The top most between people in this graph were: @anarchivist, @blefurgy, @naypinya, @rodanda, @jeffubois, @scottros, @evancaroll, @kevinmarks, @vurayav, and @sshreeves.

Here is the video from my talk:

March 14-15, 2011 – Talk at Predictive Analytics World – San Francisco – Social Data: Advanced Methods – Social (Media) Network Analysis with NodeXL

14MarMay 7, 2015 By Marc Smith

I will be speaking at the next Predictive Analytics World in San Francisco– March 14-15, 2011 about measuring and mapping social media networks with NodeXL:

Social Data: Advanced Methods – Social (Media) Network Analysis with NodeXL
www.predictiveanalyticsworld.com/sanfrancisco/2011/agenda.php#day2-13a

Networks are the common data structure that unify the otherwise diverse range of social media services. In this session learn how to extract social networks from various social media systems and analyze and visualize the structures found in collections of connections. Learn to use the free and open NodeXL add-in for Excel 2007/2010 to analyze email, twitter, facebook, youtube, www, flickr, and wiki networks.

Here is an example – a map of the connections among the people who recently tweeted the string “#pawcon”.

Connections among the Twitter users who recently mentioned PAWCON when queried on March 14, 2011 including tweets from the period 3/10/2011 15:13 to 3/15/2011 3:51, scaled by numbers of followers.
NodeXL is available from www.codeplex.com/nodexl

The top most between contributors were: @tapan_patel, @jamet123, @zementis, @pawcon, @ibmspss, @sasanalytics, @kristinevick, @waynettetubbs, @dataspora, @inside_r

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