March 30-31, 2015 – Predictive Analytics World San Francisco – Think Link: Connecting to the Power of Social Networks with no Programing with NodeXL

04FebMay 7, 2015 By Marc Smith

There will be a one day crash course on all things “big data” at the upcoming San Francisco Predictive Analytics World conference on Monday, March 30th, 2015. Get the Big Data big picture with a day of introduction to the major concepts, methods, challenges, and best practices related to leveraging large volumes of information.

There will be a session on social media network analysis using NodeXL at the conference as well.

http://www.predictiveanalyticsworld.com/sanfrancisco/2015/agenda.php#day1-1120b
11:20am-12:05pm

Track 2: Social Data
Think Link: Connecting to the Power of Social Networks with no Programing with NodeXL

Networks are collections of connections — they are everywhere once you start to look. Learn how to collect, analyze, visualize, and publish insights into connected populations. Using the free and open NodeXL addin for Excel, anyone who can make a pie chart can now make a network chart. Create insights into social media, collaboration, organizations, markets, and other connected structures with just a few clicks. Easily publish reports with visualizations and content analysis. Apply social network analysis to your own brands, email, discussions or web sites.

March 17-19, 2015 MURTEC (Multi-Unit Restaurant Technology Conference) at Caesars Palace, Las Vegas: NodeXL Hands-on Training

04FebMay 7, 2015 By Marc Smith

There will be a NodeXL Hands-on Training session at the MURTEC (Multi-Unit Restaurant Technology Conference) at Caesars Palace, Las Vegas. March 17-19, 2015

The IT Leader’s Guide: How to Map Your Brand’s Social Media Network

Speaker: Marc A. Smith, Director, Social Media Research Foundation

Social media matters – it matters to consumers – and that social chatter can matter to you if you understood how to interpret it. Learn to identify your key social media influencers and use that information to amplify your brand’s message. Uncover connections between sales and social media data, empower marketing to uncover new dining trends and brand champions, and even impact loss prevention efforts. This session will teach you how to apply social media network maps to your brand (and competitor’s). Restaurant executives, in particular those with a technology mind-set, will find great value in learning how to build, interpret and use social network maps. Participants will have an opportunity to map their own brand on social media using the free and open NodeXL (http://nodexl.codeplex.com) tool.

Bring a Windows laptop running a recent copy of Office to participate in the exercises!

This is an example NodeXL social media network map and report for the hashtags #MURTEC, #HotelTechForum, #RestES or htmagazine:

Maps and reports like these reveal the structure of an online conversation, revealing the key people, groups, and topics.

The “mayors” of this discussion are:

@htmagazine, @vivianfatule, @htmagazinetv, @colorvisionc9,
@auramusicrd, @team_techy, @paolamunnigh, @chasanmiguel,
@lissyvalerio, and @josiasortizg.

The most commonly used hashtags related to this topic are:

#htmagazine, #restes, #fromage, #fort, #hospitality,
#yoveocolorvision, #htrest, #viande, #antigaspi, #mobile

Maps and reports for a range of dining and hospitality topics will be presented at the MURTEC training session.

June 27-29 2014: Networks in the Global World 2014, St Petersburg, Russia

08JunMay 7, 2015 By Marc Smith

NetGloW ’14: Bridging Theory and Method: American, European, and Russian Studies

June 27-29, St Petersburg, Russia

I will remotely participate in the conference “Networks in the Global World 2014. Bridging Theory and Methods: American, European and Russian Studies” taking place in St Petersburg, Russia, June 27-29 2014. The 2 day, single-track conference will also have pre-conference workshops including a day devoted to using the NodeXL social media network analysis application. The primary organizing institution and host is the Centre for German and European Studies, Bielefeld University and the St Petersburg State University.

This will be the 2nd Networks in the Global World conference (for information on the 1st one held in 2012 see http://www.ngw.spbu.ru). This conference series brings together researchers exploring cutting edge networks research from around the globe. In 2014 the focus is on linking theory and methods that integrate information, communication, semantic and cultural networks.

The primary goal of the NetGloW conference series is to bring together networks researchers from around the globe, to unite the efforts of various scientific disciplines in response to the key challenges faced by network studies today, and to exchange local research results – thus allowing an analysis of global processes. It is also crucial for us to support junior researchers’ orientation in the complex landscape of network science, and to encourage applications of network analysis by practitioners.

The idea of the 2014 event is to discuss the key current issues and problems of linking theoretical and methodological developments in network analysis.

The structure of the conference: June 27^th – workshops and seminar for practitioners; June 28^th & 29^th – presentations.

Confirmed invited speakers:

Jana Diesner, University of Illinois at Urbana-Champaign, USA
Loet Leydesdorff, University of Amsterdam, Netherlands
Tom Valente, University of Southern California, USA
Dimitris Christopoulos, MODUL University Vienna, Austria
Mario Diani, University of Trento, Italy
Peter Groenewegen, VU University Amsterdam, Netherlands
Wouter de Nooy, University of Amsterdam, Netherlands
Johanne Saint-Charles, University of Quebec at Montreal, Canada
Marc Smith, Connected Action Consulting Group, USA

The sessions of the conference will include the following:

Networks in Science, Technology, and Innovation: Traditional Approaches and Operationalization of New Theories
Words and Networks
Network Perspectives on Knowledge, Communication and Culture
Making Sense of Big Network Data: Testing Hypotheses on New Data
Social Movements and Collective Action as the Network Phenomena
Network Analysis of Political and Policy-making Domains

The conference will host workshops on the following network analysis software: ConText, Pajek, NodeXL, UCINet, RSiena.

The conference will include seminar Network analysis: How can it be used by globally operating practitioners?

Host: Center for German and European Studies (St. Petersburg State University – Bielefeld University).

Working language: English.

Abstracts (200 words) will be published as a part of conference programme. Full papers (2500 words) should be submitted prior to the event. Selected full papers will be published in peer-reviewed journal(s).

Free accommodation will be provided for MA and PhD students who submitted the best abstracts.

Fee: Participation in the conference is free of charge.

Further information about the conference and registration form can be found at www.ngw.spbu.ru or requested via e-mail: netglow@spbu.ru.

Upcoming 2014 NodeXL Talks, Workshops, and Training

13MarMay 7, 2015 By Marc Smith

Upcoming talks, workshops and training for social media network analysis and NodeXL.

March 16, 2014: Predictive Analytics World, San Francisco.

Track 1: Social Media Analysis Think Link! Network Insights with No Programming Skills

March 18: Consortium for Service Innovation Annual Member Summit

April 2 – April 4, 2014, UCDC Center, Washington DC, USA, 2014 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction (SBP14)

April 24-24, 2014 The Next Web, Amsterdam

May 1-2, 2014: The Social Media & Web Analytics Summit

May 8th, 2014: 2014 SQL PASS Business Analytics Conference in San Jose.

May 19-23, 2014: International Conference on Collaboration Technologies and Systems, Minneapolis, Minnesota

June 27-29 2014: Networks in the Global World 2014. Bridging Theory and Methods: American, European and Russian Studies

2014 INSNA Sunbelt SNA Conference: February 18-23 – St. Petersburg, Florida

03FebMay 7, 2015 By Marc Smith

The INSNA Sunbelt social network conference will be held February 18-23 at the TradeWinds Island Resort on the island of St. Pete Beach.

There will be NodeXL related talks at the conference.

NodeXL: Network Analysis Made Simple
Tuesday February 18, 8:00am – 11:00am & 11:30am – 2:30pm

Marc Smith, Social Media Research Foundation
CITRUS Ballroom

Twitter Conversations as Network Structures: Typology and Measurements
Saturday February 22,

Itai Himelboim, Marc Smith, Ben Shneiderman, Lee Rainie

The conference schedule is available.

I hope to see you at the conference!

StrataConf 2014 – February 11-13, Santa Clara – Network Science Made Simple: SNA for pie chart makers

03FebMay 7, 2015 By Marc Smith

I will present at the 2014 Strata Conference in Santa Clara, CA on February 11, 2013.

Network Science Made Simple: SNA for pie chart makers

Marc Smith (Connected Action Consulting Group)

2:20pm Wednesday, 02/12/2014

Data Science
Ballroom ABNetworks are everywhere, particularly in social media. Understanding networks can quickly reveal the key people, groups, and topics that matter most. But the tools to collect, analyze, visualize, and gain insights into connected structures have remained complex. Now the free and open NodeXL application makes network analysis tasks as easy as making a pie chart. The Network Overview Discovery and Exploration add-in for Excel (2007, 2010, 2013) extends the familiar spreadsheet, enabling users to easily access networks from a range of data sources including Facebook, YouTube, Twitter, Flickr, email, message boards, Wikis, blogs, and other repositories of connections. With simple automation tools, NodeXL users can calculate a range of network metrics, create a visualization, and generate a report highlighting key people, groups, and top URLs, hashtags, words and word pairs used in the discussion network. Network maps have revealed many of the hidden structures of social media, defining the major differences in the shapes and structures created as people link to one another.

I will also hold Office Hours at the event:

Office Hour with Marc Smith (Team NodeXL)

Marc Smith (Connected Action Consulting Group)
3:00pm Wednesday, 02/12/2014
Office Hour
Table A

If you have questions on social network analysis, meet with Marc to talk about:

NodeXL and related network analysis and visualization tools
How to collect, store, analyze, visualize, summarize and publish social network reports with just a few clicks (and no coding)
How to identify key influential people and subgroups within a conversation network
How to apply social network analysis to social media marketing
How to apply organizational network analysis to enterprise collaboration

Above is a map of the connections among the people who recently tweeted the term “strataconf” over the 7-day, 19-hour, 38-minute period from Sunday, 26 January 2014 at 21:53 UTC to Monday, 03 February 2014 at 17:32 UTC. The key people in the network at this point are:

@strataconf
@oreillymedia
@thedatacrunch
@dataiku
@alpinedatalabs
@sasanalytics
@zettaforce
@bigdata
@josemariasiota
@tibco

You can make these types of maps with just a few clicks using NodeXL.

I hope to see you in Santa Clara!

January 31, 2014 – Kansas State University – Webinar: Social Media Maps and Measures with NodeXL

16JanMay 7, 2015 By Marc Smith

I will present a remote seminar at Kansas State University – on Jan. 31 about how to create social media maps and measures with NodeXL.

The remote presentation will take place 1-2:30 p.m. (Central Time) Friday, Jan. 31, in 301 Hale Library. All are welcome to attend.

See: https://blogs.k-state.edu/it-news/2014/01/10/webinar-jan-31-charting-collections-of-connections-in-social-media-creating-maps-and-measures-with-nodexl/

This is a map of the network of 2,785 Twitter users whose recent tweets contained ““kansas state” OR KState” over the 1-day, 23-hour, 14-minute period from Monday, 13 January 2014 at 17:06 UTC to Wednesday, 15 January 2014 at 16:20 UTC.

November 13 at 6pm: Data Community DC Workshop on Analyzing Social Media Networks using NodeXL

05NovMay 7, 2015 By Marc Smith

I am excited to have the opportunity to present a NodeXL workshop at the DC Data Community on November 13th at 6pm in Washington, D.C.

In this session I will describe the ways NodeXL can simplify the process of collecting, storing, analyzing, visualizing and publishing reports about connected structures.

For example, this is a map of the connections among the people who recently tweeted about the DataCommunityDC Twitter account was created with just a few clicks and no coding:

This graph represents a network of 67 Twitter users whose recent tweets contained “DataCommunityDC“, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Tuesday, 05 November 2013 at 15:15 UTC.
The tweets in the network were tweeted over the 7-day, 16-hour, 4-minute period from Monday, 28 October 2013 at 22:38 UTC to Tuesday, 05 November 2013 at 14:42 UTC.
There is an edge for each “replies-to” relationship in a tweet. There is an edge for each “mentions” relationship in a tweet. There is a self-loop edge for each tweet that is not a “replies-to” or “mentions”.
The network has been segmented into groups (“G1, G2, G3…”) and each group is labeled with the words most frequently used in the tweets from the people in that group.
The size of each Twitter user’s profile picture represents the log scaled value of their follower count.
Analysis of the network location of each participant reveals the people in key locations in the network, people at the “center” of the graph.

They are:

@datacommunitydc
@datafest2013
@gabosama
@harlanh
@mlh_holmes
@terebouza
@greglinch
@intridea
@gilpress
@katiestriff

The top URLs mentioned in this network were:

Continue reading →

October 24th, 2013: NodeXL Social Media Network Analysis Workshop at Arizona State University

13OctMay 7, 2015 By Marc Smith

I will speak about social media networks on October 24th, 2013 at the department of Computer Science at the Arizona State University.

The graph represents a network of 712 Twitter users whose recent tweets contained “@ASU”, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Sunday, 13 October 2013 at 19:56 UTC.

The tweets in the network were tweeted over the 4-day, 21-hour, 47-minute period from Tuesday, 08 October 2013 at 21:48 UTC to Sunday, 13 October 2013 at 19:35 UTC.

There is an edge for each “replies-to” relationship in a tweet. There is an edge for each “mentions” relationship in a tweet. There is a self-loop edge for each tweet that is not a “replies-to” or “mentions”.

The graph is directed.

The graph’s vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.

The edge colors are based on edge weight values. The edge widths are based on edge weight values. The edge opacities are based on edge weight values. The vertex sizes are based on followers values. The vertex opacities are based on followers values