多样性(控制论)
领域(数学)
社交网络(社会语言学)
网络科学
社会学
社会科学
社会网络分析
行为科学
认识论
数据科学
复杂网络
计算机科学
社会化媒体
人工智能
社会资本
哲学
数学
万维网
纯数学
作者
Stephen P. Borgatti,Ajay Mehra,Daniel J. Brass,Giuseppe Labianca
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2009-02-12
卷期号:323 (5916): 892-895
被引量:3924
标识
DOI:10.1126/science.1165821
摘要
Over the past decade, there has been an explosion of interest in network research across the physical and social sciences. For social scientists, the theory of networks has been a gold mine, yielding explanations for social phenomena in a wide variety of disciplines from psychology to economics. Here, we review the kinds of things that social scientists have tried to explain using social network analysis and provide a nutshell description of the basic assumptions, goals, and explanatory mechanisms prevalent in the field. We hope to contribute to a dialogue among researchers from across the physical and social sciences who share a common interest in understanding the antecedents and consequences of network phenomena.
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