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Social Networks under Stress
ACM Transactions on the Web ( IF 3.5 ) Pub Date : 2019-02-08 , DOI: 10.1145/3295460
Daniel M. Romero 1 , Brian Uzzi 2 , Jon Kleinberg 3
Affiliation  

Social network research has begun to take advantage of fine-grained communications regarding coordination, decision-making, and knowledge sharing. These studies, however, have not generally analyzed how external events are associated with a social network’s structure and communicative properties. Here, we study how external events are associated with a network’s change in structure and communications. Analyzing a complete dataset of millions of instant messages among the decision-makers with different roles in a large hedge fund and their network of outside contacts, we investigate the link between price shocks, network structure, and change in the affect and cognition of decision-makers embedded in the network. We also analyze the communication dynamics among specialized teams in the organization. When price shocks occur the communication network tends not to display structural changes associated with adaptiveness such as the activation of weak ties to obtain novel information. Rather, the network “turtles up.” It displays a propensity for higher clustering, strong tie interaction, and an intensification of insider vs. outsider and within-role vs. between-role communication. Further, we find changes in network structure predict shifts in cognitive and affective processes, execution of new transactions, and local optimality of transactions better than prices, revealing the important predictive relationship between network structure and collective behavior within a social network.

中文翻译:

压力下的社交网络

社交网络研究已开始利用有关协调、决策和知识共享的细粒度通信。然而,这些研究并未普遍分析外部事件如何与社交网络的结构和交流特性相关联。在这里,我们研究外部事件如何与网络结构和通信的变化相关联。通过分析大型对冲基金中不同角色的决策者及其外部联系网络之间的数百万条即时消息的完整数据集,我们研究了价格冲击、网络结构以及决策影响和认知变化之间的联系——嵌入网络的制造商。我们还分析了组织中专业团队之间的沟通动态。当价格冲击发生时,通信网络往往不会显示与适应性相关的结构变化,例如激活弱联系以获得新信息。相反,网络“乌龟起来”。它显示出更高聚类、强联系互动以及内部人员与外部人员以及角色内与角色间沟通的强化倾向。此外,我们发现网络结构的变化比价格更能预测认知和情感过程的变化、新交易的执行和交易的局部最优性,揭示了网络结构和社交网络内的集体行为之间的重要预测关系。网络“乌龟起来”。它显示出更高聚类、强联系互动以及内部人员与外部人员以及角色内与角色间沟通的强化倾向。此外,我们发现网络结构的变化比价格更能预测认知和情感过程的变化、新交易的执行和交易的局部最优性,揭示了网络结构和社交网络内的集体行为之间的重要预测关系。网络“乌龟起来”。它显示出更高聚类、强联系互动以及内部人员与外部人员以及角色内与角色间沟通的强化倾向。此外,我们发现网络结构的变化比价格更能预测认知和情感过程的变化、新交易的执行和交易的局部最优性,揭示了网络结构和社交网络内的集体行为之间的重要预测关系。
更新日期:2019-02-08
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