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HICSS 2011 Paper: EventGraphs: Charting Collections of Conference Connections

By
Marc Smith
– January 9, 2011Posted in: Conference, Conferences, Foundation, HICSS, HICSS - Hawaii International Conference on System Sciences, Maryland, Maryland, Measuring social media, Metrics, Network metrics and measures, Network visualization layouts, NodeXL, NodeXL, Papers, Research, SMRF, SMRF - Social Media Research Foundation, Social Media, Social network, Social Network Analysis, Sociology

A recent paper “EventGraphs: Charting Collections of Conference Connections” by Social Media Research Foundation members 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 published 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

The 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:

2011 Jan 9 NodeXL Twitter HICSS
2011 Jan 9 NodeXL Twitter HICSS20101014-NodeXL-Twitter-SLIS-highlightedfutureofbirth conference20101006-NodeXL-Twitter-MWA2010-top between selectedMobile Web Africa 2010
Mobile Web Africa 2010
20100930-NodeXL-Twitter-Ubicomp20100929-NodeXL-Twitter-MWA2010-Top Between20100929-NodeXL-Twitter-MWA201020100920-NodeXL-Twitter-#oow10 - top between20100920-NodeXL-Twitter-#oow10 - in and out degree above 10
20100920-NodeXL-Twitter-Emtech Graph
2010-08-22-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 Between
2010 - July - 29 - NodeXL - Twitter - #CAT10
2010 - 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 - #CAT10

2010 - 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 - PDF2010

2010 - 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 www2010

NodeXL - 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 - chirp

2010 - 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 followers

2009 - October 14 - NodeXL - Twitter Network MWA09 X Tweets Y Followers2009 - October 14 - NodeXL - Twitter Network MWA09 Followers

 

Tags: 2011, Chart, Conference, Event, EventGraphs, graph, Hashtag, HICSS, Map, network, Paper, Publication, SNA, Twitter, Visualization

About Marc Smith

Chief Social Scientist
[email protected]

Connected Action Group
Marc Smith on Twitter
Marc on Delicious
NodeXL

Marc Smith is a sociologist specializing in the social organization of online communities and computer mediated interaction. He founded and managed the Community Technologies Group at Microsoft Research in Redmond, Washington and led the development of social media reporting and analysis tools for Telligent Systems. Smith leads the Connected Action consulting group and lives and works in Silicon Valley, California. Smith co-founded the Social Media Research Foundation (http://www.smrfoundation.org/), a non-profit devoted to open tools, data, and scholarship related to social media research.

Smith is the co-editor with Peter Kollock of Communities in Cyberspace (Routledge), a collection of essays exploring the ways identity; interaction and social order develop in online groups. Along with Derek Hansen and Ben Shneiderman, he is the co-author and editor of Analyzing Social Media Networks with NodeXL: Insights from a connected world, forthcoming from Morgan-Kaufmann in July 2010 which is a guide to mapping connections created through computer-mediated interactions.

Smith's research focuses on computer-mediated collective action: the ways group dynamics change when they take place in and through social cyberspaces. Many "groups" in cyberspace produce public goods and organize themselves in the form of a commons (for related papers see: http://www.connectedaction.net/marc-smith/). Smith's goal is to visualize these social cyberspaces, mapping and measuring their structure, dynamics and life cycles. At Microsoft, he developed the "Netscan" web application and data mining engine that allows researchers studying Usenet newsgroups and related repositories of threaded conversations to get reports on the rates of posting, posters, crossposting, thread length and frequency distributions of activity. Smith applied this work to the development of a generalized community analysis platform for Telligent, providing a web based system for groups of all sizes to discuss and publish their material to the web and analyze the emergent trends that result. He contributes to the open and free NodeXL project (http://www.codeplex.com/nodexl) that adds social network analysis features to the familiar Excel spreadsheet. A tutorial on social network analysis is evolving into a book and is freely available (http://casci.umd.edu/NodeXL_Teaching). NodeXL enables social network analysis of email, twitter, flickr, www, facebook and other network data sets.

The Connected Action consulting group (http://www.connectedaction.net) applies social science methods in general and social network analysis techniques in particular to enterprise and internet social media usage. SNA analysis of data from message boards, blogs, wikis, friend networks, and shared file systems can reveal insights into organizations and processes. Community managers can gain actionable insights into the volumes of community content created in their social media repositories. Mobile social software applications can visualize patterns of association that are otherwise invisible.

Smith received a B.S. in International Area Studies from Drexel University in Philadelphia in 1988, an M.Phil. in social theory from Cambridge University in 1990, and a Ph.D. in Sociology from UCLA in 2001. He is an affiliate faculty at the Department of Sociology at the University of Washington and the College of Information Studies at the University of Maryland. Smith is also a Distinguished Visiting Scholar at the Media-X Program at Stanford University.

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