Disentangling the effects of reputation and network position on the evolution of alliance networks
利用面板数据社会网络分析程序SIENA，区分个体声誉与复合声誉，发现声誉强度和网络接近中心性显著预测项目制电影产业中的联盟形成，而声誉相似性对联盟形成的影响较弱。
This study uses the panel data social network analysis program SIENA to estimate the effect of actor reputation derived from past performance on alliance formation, while controlling for other constant actor attributes and network position. The authors distinguish between individual reputation based on the past performance of the organizations the individual actor has been involved in, and composite reputation that takes into account reputation spillover effects from the similarly constituted reputations of past alliance partners. The empirical setting is the project-based film industry, which can be regarded as a constantly changing network of alliances. The study focuses on artistic reputation, based on the reviews of earlier films, and finds that the strength of that reputation and closeness in the network of past alliances are strong predictors of alliance formation. The study finds weak evidence of actors with similar reputations being more likely to form alliances with each other.