Social networks analysis: a game experiment

Authors:
Tal Ben-Zvi
Affiliations:
Stevens Institute of Technology, Hoboken, NJ
Venue:
Proceedings of the Behavioral and Quantitative Game Theory: Conference on Future Directions
Year:
2010

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Abstract

This study examines how early business relationships in company networks may predict later performance and centrality. We define a way of classifying centrality trajectories in social networks, providing a method that can be used more generally to predict network change over time. Employing a game simulation, we show that there are strategies that correlate with eventual centrality and profit, and other strategies that correlate with poor performance.