Mathematical sociology

Thursday, March 29, 2012 - 4:45pm - 5:30pm
Kathleen Carley (Carnegie-Mellon University)
The Arab Spring was a period of social change through a series of protests and revolutions set against a backdrop of revolutions. During this time, the actors and issues were changing. This talk describes how dynamic network analysis, combining network based text mining with network analysis support the assessment of this change. News data on 18 countries for a period of 1 year are assessed and changes in the key actors, secondary actors, and issues identified.
Thursday, March 1, 2012 - 9:00am - 9:45am
Jure Leskovec (Stanford University)
Networks are a powerful way to describe and represent social, technological and biological systems. Such systems can all be studied as graphs, where nodes represent entities (e.g., people, web sites) and edges represent interactions (friendships, communication, links). Nodes in networks organize into groups that are commonly referred to as communities, clusters or modules. This is arguably the most important and useful resolution for studying networks as there are many reasons why networks organize into communities.
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