Connected Action

Sociology and the Internet, Social Media, Networks and Mobile Social Software

HICSS 2011 Paper: EventGraphs: Charting Collections of Conference Connections

January 9th, 2011 by Marc Smith · No Comments

A recent paper “EventGraphs: Charting Collections of Conference Connections” by Marc Smith from Connected Action, Professor Derek Hansen (College of Information Studies) and Professor Ben Shneiderman (Computer Science/Human Computer Interaction Lab) both from the University of Maryland and has been accepted for publication at the 2011 Hawaii International Conference on System Sciences (HICSS) Conference.  This is the 44th year for the conference. Derek Hansen presented the paper on January 7, 2011.

Hansen, D., Smith, M., Shneiderman, B., EventGraphs: charting collections of conference connections. Hawaii International Conference on System Sciences. Forty-Forth Annual Hawaii International Conference on System Sciences (HICSS). January 4-7, 2011. Kauai, Hawaii.

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

Our paper is about visualizing social media and it describes the visualization of the patterns of connections formed when people tweet about events like conferences and news stories.

EventGraphs are social media network diagrams constructed from content selected by its association with time-bounded events, such as conferences. Many conferences now communicate a common “hashtag” or keyword to identify messages related to the event. EventGraphs help make sense of the collections of connections that form when people follow, reply or mention one another and a keyword. This paper defines EventGraphs, characterizes different types, and shows how the social media network analysis add-in NodeXL supports their creation and analysis. The paper also identifies the structural and conversational patterns to look for and highlight in EventGraphs and provides design ideas for their improvement.

A collection of EventGraphs are available in flickr: http://www.flickr.com/photos/marc_smith/sets/72157625618025980/

The EventGraph for HICSS this year is here: 20110109-NodeXL-Twitter-HICSS

The top most between contributors to the HICSS Twitter graph this year are: @arcticpenguin @avantgame @barrywellman @clifflampe @dalprof @chandlerism @shakmatt @marc_smith @shen045 and @thecatandthekey

Here is the data set: 20110109-NodeXL-Twitter-HICSS
Graph Metric Value
Graph Type Directed
Vertices 92
Unique Edges 243
Edges With Duplicates 71
Total Edges 314
Self-Loops 0
Connected Components 21
Single-Vertex Connected Components 18
Maximum Vertices in a Connected Component 69
Maximum Edges in a Connected Component 307
Maximum Geodesic Distance (Diameter) 8
Average Geodesic Distance 3.081693
Graph Density 0.032967033

NodeXL Version 1.0.1.159

An article about social media visualization Social Seen: Analyzing and Visualizing Data from Social Networks by Hunter Whitney, appeared in UX Magazine on December 15, 2010.  It provides a great round up of tools and approaches to mapping populations in social media spaces.

Previous HICSS papers:

Gleave, Eric, Howard T. Welser, Marc Smith, and Thomas Lento.  2009.  “A conceptual and operational definition of social role in online community.”   In Proceedings of the 42nd  Hawaii International Conference on Systems Sciences (HICSS), January 5-8. Computer Society Press.  (Best Paper, Digital Media and Communication Mini-Track)

2009 – HICSS – 42 – Best Paper – A Conceptual and Operational Definition of ‘Social Role’ in Online Community

Fisher, D., Smith, M., and Welser, H. You Are Who You Talk To, Proceedings of HICSS, January 2006. (Best Paper, Digital Media and Communication Program)

http://www.connectedaction.net/wp-content/uploads/2009/08/2006-HICSS-You-Are-Who-You-Talk-To-Detecting-Roles-in-Usenet-Newsgroups.pdf

Viégas, Fernanda B., Marc Smith. “Newsgroup Crowds and AuthorLines: Visualizing the Activity of Individuals in Conversational Cyberspaces“, Proceedings of Hawaii International Conference on Software and Systems (HICSS) 2004. (Best Paper: Persistent Conversation Minitrack)

http://www.connectedaction.net/wp-content/uploads/2009/08/2004-HICSS-Viegas-and-Smith-Newsgroup-Crowds-and-Author-Lines.pdf

Here are some sample event graphs:

20110405-NodeXL-Twitter-scon11 graph20110405-NodeXL-Twitter-scon1120110405-NodeXL-Twitter-socialc20 graph20110405-NodeXL-Twitter-socialc2020110331-NodeXL-Twitter-#w2e top between20110331-NodeXL-Twitter-#w2e20110330-NodeXL-Twitter-#w2e20110330-NodeXL-Twitter-#w2e top between20110330-NodeXL-Twitter-www2011 OR www11 composite20110330-NodeXL-Twitter-www2011 OR www1120110328-NodeXL-Twitter-#www201120110328-NodeXL-Twitter-#www2011 top between20110315-NodeXL-Twitter-pawcon20110315-NodeXL-Twitter-pawcon-top between20110315-NodeXL-Twitter-sxsw graph20110315-NodeXL-Twitter-sxsw top between20110314-NodeXL-Twitter-pawcon top between20110314-NodeXL-Twitter-pawcon20110314-NodeXL-Twitter-SxSW Top Between20110314-NodeXL-Twitter-SxSW Graph20110314-NodeXL-Twitter-msrtf11 OR techfest top between20110314-NodeXL-Twitter-msrtf11 OR techfest20110313-NodeXL-Twitter-SxSW Graph Top Between20110313-NodeXL-Twitter-SxSW Graph20110312-NodeXL-Twitter-sxsw top between20110312-NodeXL-Twitter-sxsw20110311-NodeXL-Twitter-sxsw top between20110311-NodeXL-Twitter-sxsw20110310-NodeXL-Twitter-techfest or msrtf112011 Jan 9 NodeXL Twitter HICSS2011 Jan 9 NodeXL Twitter HICSS20101014-NodeXL-Twitter-SLIS-highlightedfutureofbirth conference20101006-NodeXL-Twitter-MWA2010-top between selectedMobile Web Africa 2010Mobile Web Africa 201020100930-NodeXL-Twitter-Ubicomp20100929-NodeXL-Twitter-MWA2010-Top Between20100929-NodeXL-Twitter-MWA201020100920-NodeXL-Twitter-#oow10 - top between20100920-NodeXL-Twitter-#oow10 - in and out degree above 1020100920-NodeXL-Twitter-Emtech Graph2010-08-22-NodeXL-Twitter-SocialCom20102010 - August - 10 - NodeXL - Twitter BlogHer x y followers v tweets layout2010 - August - 10 - NodeXL - Twitter BlogHer FR layout2010 - August - 10 - NodeXL - Twitter BlogHer2010 - August - 10 - NodeXL - Twitter BlogHer top Between2010 - July - 29 - NodeXL - Twitter - #CAT102010 - July - 27 - NodeXL - Twitter - birthconf top betweenness list2010 - July - 27 - NodeXL - Twitter - birthconf2010 - July - 26 - NodeXL - Twitter - #CAT10 top between2010 - July - 26 - NodeXL - Twitter - #CAT102010 - July - 24 - NodeXL - Twitter - #CAT102010 - July - 24 - NodeXL - Twitter - #CAT10 top between2010 - July - 24 - NodeXL - Twitter - #CAT102010 - July - NodeXL - sunbelt - 2010-07-012010 - June - NodeXL - #MSM10_2010-06-13_12-30-022010  - June - 9 - NodeXL Twitter InJo7 or IJ72010 - May - 25 - NodeXL - Twitter - PDF20102010 - May - 24 - NodeXL - Twitter - ICWSM - Top Between Users2010 - May - 24 - NodeXL - Twitter - ICWSM2010 - April - 29 - NodeXL - twitter www20102010 - April - 28 - NodeXL - twitter www2010 x followers y tweets edge weights tool tip2010 - April - 28 - NodeXL - twitter www2010 edge weights tool tip2010 - April - 28 - NodeXL - twitter www2010NodeXL - eComm 2010 Twitter MapNodeXL - eComm 2010 Twitter Map2010 - April - 18 - NodeXL - Twitter - ashcloud with a multi-line tooltip2010 - April - 16 - NodeXL - Twitter - ashtag2010 - April - 15 - NodeXL - Twitter - chirp with edge weights2010 - April - 15 - NodeXL - Twitter - chirp2010 - April - 12 - NodeXL - Twitter - CHI2010 X Log of Followers Y Tweets2010 - April - 12 - NodeXL - Twitter - CHI2010 X Log of Followers Y Log of Tweets danah tooltip2010 - April - 12 - NodeXL - Twitter - CHI2010 wideNodeXL Twitter Network Graphs: CHI2010NodeXL Twitter Network Graphs: McAfee2010 - February - NodeXL - cscw Twitter Network scaled by followers2009 - October 14 - NodeXL - Twitter Network MWA09 X Tweets Y Followers2009 - October 14 - NodeXL - Twitter Network MWA09 Followers

Tags: Conference · Connected Action · Data Mining · Ecology · Foundation · HICSS · Maryland · Measuring social media · Network clusters and communities · Network data providers (spigots) · Network metrics and measures · NodeXL · Papers · Research · SMRF · Social Interaction · Social network · Social Network Analysis · Social Theories and concepts · Twitter · University · Visualization