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Social Networks 中科院2区 JCR:Q1 SSCI PubMed
发文量 1,873
被引量 128,348
影响因子(2025版) 2.428

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. The editorial criteria for acceptance will be based on the degree to which a paper makes a broad theoretical or methodological, and empirically relevant, contribution to the study of social networks. Acceptable papers may range from abstract, formal mathematical derivations to concrete, descriptive case studies of particular social networks. The editors are therefore particularly interested in papers that attempt to uncover the processes by which social networks emerge, evolve and have consequences for other aspects of behaviour. However, for reports of empirical research results, manuscripts must contain the following: a discussion of sampling, representation, and generalizability; a substantive foundation based on the social network literature; a consideration of social network processes; and feature meaningful data. Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more.

  • 主办单位： ELSEVIER
  • 出版地区： AMSTERDAM
  • 出版周期： 季刊
  • 别名： SOC NETWORKS;Soc. Networks;社会网络;SOCIAL NETWORKS
  • 国际标准连续出版物号/电子版： ISSN 0378-8733 / EISSN 1879-2111
  • 创刊时间： 1978年
热门主题：

Social NetworksSocial NetworkSocial Network AnalysisExponential Random Graph ModelsNetwork AnalysisNetwork DataNetwork StructureSocial CapitalSocial Network DataCentrality MeasuresNetwork SizeExponential Random Graph ModelRandom Graph ModelsSocial StructureStructural BalanceWeak TiesNetwork DynamicsNetwork TiesSocial InfluenceEgocentric Network

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2026年--期
共：5篇

    • Chen, MinhengFu, Yang-chihGuo, XinFu, Qiang

      1-12

    • Maya-Jariego, IsidroSantolaya, Francisco J.Pastor-Alcayde, Pablo

      13-23

    • Zhang, ShuyueLei, LinlinLiu, LilanZuo, Shijiang

      24-34

    • Trasciani, GiorgiaGhinoi, StefanoConaldi, Guido

      35-46
    • 47-56
2026年--期

2026年--期

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