Social networks analysis: A game experiment

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationBehavioral and Quantitative Game Theory
Subtitle of host publicationConference on Future Directions 2010, BQGT 2010
DOIs
StatePublished - 2010
EventBehavioral and Quantitative Game Theory: Conference on Future Directions 2010, BQGT 2010 - Newport Beach, CA, United States
Duration: 14 May 201016 May 2010

Publication series

NameBehavioral and Quantitative Game Theory: Conference on Future Directions 2010, BQGT 2010

Conference

ConferenceBehavioral and Quantitative Game Theory: Conference on Future Directions 2010, BQGT 2010
Country/TerritoryUnited States
CityNewport Beach, CA
Period14/05/1016/05/10

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