文章基本信息

标题：Simple Heuristics in Complex Networks: Models of Social Influence
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作者：Gero Schwenk ; Torsten Reimer
期刊名称：Journal of Artificial Societies and Social Simulation
印刷版ISSN：1460-7425
出版年度：2008
卷号：11
期号：3
页码：1-18
出版社：University of Surrey, Department of Sociology
摘要：The concept of heuristic decision making is adapted to dynamic influence processes in social networks. We report results of a set of simulations, in which we systematically varied: a) the agents' strategies for contacting fellow group members and integrating collected information, and (b) features of their social environment — the distribution of members' status, and the degree of clustering in their network. As major outcome variables, we measured the speed with which the process settled, the distributions of agents' final preferences, and the rate with which high-status members changed their initial preferences. The impact of the agents' decision strategies on the dynamics and outcomes of the influence process depended on features of their social environment. This held in particular true when agents contacted all of the neighbors with whom they were connected. When agents focused on high-status members and did not contact low-status neighbors, the process typically settled more quickly, yielded larger majority factions and fewer preference changes. A case study exemplifies the empirical application of the model.
关键词：Decision Making; Cognition; Heuristics; Small World Networks; Social Influence; Bounded Rationality