20120622 web sci12-won-marc smith-semantic and social network analysis of …

Marc A. SmithChief Social ScientistConnected Action Consulting Groupmarc@connectedaction.nethttp://www.connectedaction.nethttp://nodexl.codeplex.com/

A project from the Social Media Research Foundation: http://www.smrfoundation.org

Semantic and Social Network

Analysis of Social Media with

NodeXL

Social Media Research Foundationhttp://smrfoundation.org

Social Media Research FoundationPeople Disciplines Institutions

University Faculty

Computer Science University of Maryland

Students HCI, CSCW Oxford Internet Institute

Industry Machine Learning Stanford University

Independent Information Visualization Microsoft Research

Researchers UI/UX Illinois Institute of Technology

Developers Social Science/Sociology Connected Action

Network Analysis Cornell

Collective Action Morningside Analytics

About Me

Introductions

Marc A. SmithChief Social ScientistConnected Action Consulting Group

Marc@connectedaction.nethttp://www.connectedaction.nethttp://www.codeplex.com/nodexlhttp://www.twitter.com/marc_smithhttp://delicious.com/marc_smith/Paper http://www.flickr.com/photos/marc_smithhttp://www.facebook.com/marc.smith.sociologisthttp://www.linkedin.com/in/marcasmithhttp://www.slideshare.net/Marc_A_Smithhttp://www.smrfoundation.org

Like MSPaint™ for graphs

What we are trying to do:Open Tools, Open Data, Open Scholarship

• Build the “Firefox of GraphML” – open tools for collecting and visualizing social media data

• Connect users to network analysis – make network charts as easy as making a pie chart

• Connect researchers to social media data sources• Archive: Be the “Allen Very Large Telescope Array”

for Social Media data – coordinate and aggregate the results of many user’s data collection and analysis

• Create open access research papers & findings• Make “collections of connections” easy for users to

manage

What we have done: Open Tools

• NodeXL• Data providers (“spigots”)– ThreadMill Message Board– Exchange Enterprise Email– Voson Hyperlink– SharePoint– Facebook– Twitter– YouTube– Flickr

What we have done: Open Data

• NodeXLGraphGallery.org– User generated collection of

network graphs, datasets and annotations

– Collective repository for the research community

– Published collections of data from a range of social media data sources to help students and researchers connect with data of interest and relevance

Now Available

Group-in-a-box Layout

#occupywallstreet15 November 2011

#teaparty15 November 2011

http://www.newscientist.com/blogs/onepercent/2011/11/occupy-vs-tea-party-what-their.html

This graph represents a directed network of 1,360 Twitter users

whose recent tweets contained "contraceptive OR contraception". The network was obtained

on Friday, 08 June 2012 at 13:22 UTC. There is

an edge for each follows relationship. 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 tweets were made over the 2-

day period from Thursday, 07 June 2012 at 18:46 UTC to Friday, 08 June 2012 at 13:06

UTC. The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster

algorithm. The edge colors are based on

relationship values. The vertex sizes are based on

each user’s number of followers. Table 1

reports the summary network metrics that describe the graph.

Summary network metrics

The Vertices spreadsheet lists users who contributed a tweet containing the terms “contraception OR

contraceptives” over two days in early June 2012. Users are ranked by their computed betweenness centrality within the network of follows, replies, and mentions edges. The top 10 vertices, ranked by betweenness centrality are the accounts

at the center of the network. These include: @thinkprogress, @gatesfoundation, @SandraFluke,

@maleeek, @Change, @foxandfriends, @melindagates, @AshleyJudd, @cnalive, and @SOHLTC.

NodeXL calculates network metrics and

word pairs

Contrasting groups

The Content summary spreadsheet displays the most

frequently used URLs, hashtags, and user names within the

network as a whole and within each calculated sub-group.

Contrast hashtags in Groups 2 & 4

Contrasting URL references

Word Pair Contrasts

Marc A. SmithChief Social ScientistConnected Action Consulting Groupmarc@connectedaction.nethttp://www.connectedaction.nethttp://nodexl.codeplex.com/

A project from the Social Media Research Foundation: http://www.smrfoundation.org

Semantic and Social Network

Analysis of Social Media with

NodeXL