Use of aggregated relational data in agent-based modeling

IF 2.4 2区 社会学 Q1 ANTHROPOLOGY
Yunsub Lee , Xinwei Xu
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引用次数: 0

Abstract

Aggregated relational data (ARD) provides valuable information for inferring structural features of personal social networks at scale. Following recent ARD studies, we suggest a formal parameter for agent-based modeling (ABM) that helps reflect multiple structural features of extended social networks (e.g., size; variation; distribution) and apply it to a widely known classic ABM—Axelrod’s cultural dynamic model. Results show that when incorporating realistic network features estimated from ARD, the model generates outcomes substantially different from its original results. Our study highlights ARD's potential to enrich ABM in reflecting more realistic networks that better connect micro-processes with macro-phenomena.
在基于代理的建模中使用聚合的关系数据
聚合关系数据(ARD)为大规模推断个人社会网络的结构特征提供了有价值的信息。根据最近的ARD研究,我们为基于主体的建模(ABM)提出了一个形式参数,该参数有助于反映扩展社会网络的多种结构特征(例如,规模、变化、分布),并将其应用于广为人知的经典ABM - axelrod的文化动态模型。结果表明,当纳入从ARD估计的现实网络特征时,模型产生的结果与原始结果有很大不同。我们的研究强调了ARD在反映更好地将微观过程与宏观现象联系起来的更现实的网络方面丰富ABM的潜力。
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来源期刊
Social Networks
Social Networks Multiple-
CiteScore
5.90
自引率
12.90%
发文量
118
期刊介绍: Social Networks is an interdisciplinary and international quarterly. It provides a common forum for representatives of anthropology, sociology, history, social psychology, political science, human geography, biology, economics, communications science and other disciplines who share an interest in the study of the empirical structure of social relations and associations that may be expressed in network form. It publishes both theoretical and substantive papers. Critical reviews of major theoretical or methodological approaches using the notion of networks in the analysis of social behaviour are also included, as are reviews of recent books dealing with social networks and social structure.
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