Program (2012)

1:30-2:50 pm (room 1) – Session 1: Applications for Organizational Network Analysis. Chair: Mohan Saravanan, Ericsson R&D Chennai, India

  1. Gözde Cüce. Social Network Analysis in Organization Development Studies
  2. James Danowski. Analyzing An Organization with a Semantic Network Include List
  3. Lamia Ben Hiba and Mohammed Abdou Janati Idrissi. An SNA-based evaluation framework for virtual teams
  4. Renuka Hodigere and Diana Bilimoria. Women on public-company boards: factors that affect their odds of board membership relative to those of men

2:50-3:30 pm (room 1) –  Keynote speech: Maksim TsvetovatChief Technology Officer of DeepMile Networks and Faculty member at George Mason University’s Center for Social Complexity

3:30-4:00 pm Coffee break

4:00-5:30 pm  (room 1) – Session 2: Applications for Community Network Analysis. Chair: Mohan Saravanan, Ericsson R&D Chennai, India

  1. Devipsita Bhattacharya and Sudha Ram. Sharing News Articles Using 140 Characters: A Diffusion Analysis on Twitter
  2. Claudia Lauschke. Monitoring User Evolution in Twitter
  3. Tushar Sharma and Tushar Sharma. Finding Communities in Weighted Signed Social Networks
  4. Johannes Bjelland, Geoffrey Canright, Kenth Engø-Monsen, Pål Sundsøy and Rich Ling. A Social Network Study of the Apple vs. Android Smartphone Battle
  5.  Shun Hattori. Spatio-Temporal Web Sensor by Social Network Analysis

Keynote speaker:

Maksim Tsvetovat is the Chief Technology Officer of DeepMile Networks, and an member of the faculty at George Mason University’s Center for Social Complexity. He is an interdisciplinary scientist, a software engineer, and a jazz musician. He has received his doctorate from Carnegie Mellon University in the field of Computation, Organizations and Society, concentrating on computational modeling of evolution of social networks, diffusion of information and attitudes, and emergence of collective intelligence. His current work concentrates on using Big Data / Fast Streaming Data approaches to build understanding of rapidly evolving networks in social media.
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