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October 26, 2010 – Social Tech 2010 – San Jose, CA

I spoke at the Social Tech 2010 conference in San Jose on October 26, 2010.

The event focused on social media technologies and practices in the business to business space.

I spoke on a panel about the application of social network analysis to social media to illustrate the ways SNA can illuminate the shape and key contributors to a social media crowd inside the firewall or on the public Internet.

Other notable speakers included: Thomas Lento from Facebook, Lawrence Liu from Cisco and Michael Wu from Lithium.  The panel was moderated by Tatyana Kanzaveli.

Michael Wu, Tom Lento, and Lawrence Lui at SocialTech 2010

An example of applying social network analysis and visualization is this map of the connections among the people who recently tweeted “socialtech” on the 25th of September, 2010.

The top most between users in this map can be sorted in the spreadsheet, bringing the user accounts for @mprofsevents, @socialtech, @mikewise07, @jowyang, @marketingprofs, @meganleap, @socialmediaclub, @cotweet, @zuberance, @spiral16.

It remains early in this cycle of the use of the socialtech tag, as the conference begins the volume will ramp up and new people will enter the graph bringing with them their unique patterns of connection and interaction.  Over the coming days we may see more clusters emerge and new connections form.
As of Monday evening, the socialtech Twitter graph is small but densely connected with few isolates:
Vertices 87
Unique Edges 224
Edges With Duplicates 88
Total Edges 312
Graph Density 0.035017375
Single-Vertex Connected Components 6

By Tuesday morning, the event is gaining activity and density.
The most between members of this graph are the accounts:
The accounts @zuberance, @spiral16 have been pushed out of the top 10 most between positions in the graph, while @marc_meyer and @anneyaz join the graph.
Vertices 125
Unique Edges 470
Edges With Duplicates 112
Total Edges 582
Connected Components 10
Single-Vertex Connected Components 7
Maximum Vertices in a Connected Component 113
Maximum Edges in a Connected Component 575
Maximum Geodesic Distance (Diameter) 5
Average Geodesic Distance 2.725082
Graph Density 0.033419355
A paper about “EventGraphs” will be presented at  the HICSS 2011 conference by Prof. Derek Hansen from the University of Maryland, School of Information.
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