{"title":"Social networks analysis: a game experiment","authors":"T. Ben-Zvi","doi":"10.1145/1807406.1807490","DOIUrl":null,"url":null,"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.","PeriodicalId":142982,"journal":{"name":"Behavioral and Quantitative Game Theory","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Behavioral and Quantitative Game Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1807406.1807490","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
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.