“tag:social network”
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社会网络分析:方法与应用 [图书] 豆瓣
Social Network Analysis: Methods and Examples
作者: [美]杨松 / [瑞士]弗朗西斯卡·B.凯勒 译者: 曹立坤 / 曾丰又 社会科学文献出版社 2019 - 1
《社会网络分析:方法与应用》涉及社会网络分析(SNA)在多领域的应用实例和基本方法工具,让社会科学研习者能在阅读本书后立刻开始他们自己的社会网络研究。这本富有创新性的著作摒弃了对数学方法的强调,而是从理念上讨论了社会网络分析方法的精要之处,以及如何将其运用于研究设计、数据收集和分析中。四个章节介绍了社会网络分析方法在政治学、工作与组织、心理与身体健康、犯罪与恐怖主义研究中的应用实例。
Social Network Analysis [图书] 豆瓣
作者: Christina Prell Sage Publications Ltd 2011 - 9
'This book fills an important void in the social network literature by bringing together theory, methodology and history. Its practical and readable style gives clear guidance on how to do social network research and will be invaluable to anyone undertaking a network study' - Martin Everett, Chair of Social Network Analysis, Manchester University 'Christina Prell has produced an excellent and well-crafted introduction to methods of social network analysis. She has succeeded in the difficult task of setting out a clear and accessible statement of core ideas together with a judicious overview of the most advanced recent developments. Her discussion concludes with an introduction to basic software for network analysis that will be much valued by all who are new to the area. The book will become an essential guide to the field for newcomers and seasoned users alike' - John Scott, Professor of Sociology, Plymouth University We live in a world that is paradoxically small and vast: each of us is embedded in local communities and yet we are only a few 'links' away from anyone else in the world. This engaging book represents these interdependencies' positive and negative consequences, their multiple effects and the ways in which a local occurrence in one part of the world can directly affect the rest. Then it demonstrates precisely how these interactions and relationships form. This is a book for the social network novice on learning how to study, think about and analyse social networks; the intermediate user, not yet familiar with some of the newer developments in the field; and the teacher looking for a range of exercises, as well as an up-to-date historical account of the field. It is divided into three sections: 1. Historical & Background Concepts 2. Levels of Analysis 3. Advances, Extensions and Conclusions The book provides a full overview of the field - historical origins, common theoretical perspectives and frameworks; traditional and current analytical procedures and fundamental mathematical equations needed to get a foothold in the field.
网络、群体与市场 [图书] 豆瓣
Networks, Crowds, and Markets
作者: 大卫·伊斯利(David Esley) / 乔恩·克莱因伯格(Jon Kleinberg) 译者: 李晓明 / 王卫红 清华大学出版社 2011 - 10
过去十年来,现代社会中复杂的连通性向公众展现出与日俱增的魅力。这种连通性在许多方面都有体现并发挥着强大的作用,包括互联网的快速成长、全球通信的便捷,以及新闻与信息(及传染病与金融危机)以惊人的速度与强度传播的能力。这种现象涉及网络、动机和人们的聚合行为。网络将人们的行为联系起来,使得每个人的决定可能对他人产生微妙的后果。
本书是本科生的入门教材,同时也适合希望进入相关领域的高层次读者。它从交叉学科的角度出发,综合运用经济学、社会学、计算与信息科学以及应用数学的有关概念与方法,考察网络行为原理及其效应机制。以深入浅出的方式描述了在网络的作用下正在浮现与发展起来的一些交叉学科领域,讨论了社会、经济和技术领域相互联系的若干基本问题。本书是一本带你跨入信息科学和社会科学交叉领域研究之门的优秀参考书。
Exponential Random Graph Models for Social Networks [图书] 豆瓣
作者: Lusher, Dean; Koskinen, Johan; Robbins, Garry Cambridge University Press 2012 - 11
Exponential random graph models (ERGMs) are increasingly applied to observed network data and are central to understanding social structure and network processes. The chapters in this edited volume provide a self-contained, exhaustive account of the theoretical and methodological underpinnings of ERGMs, including models for univariate, multivariate, bipartite, longitudinal and social-influence type ERGMs. Each method is applied in individual case studies illustrating how social science theories may be examined empirically using ERGMs. The authors supply the reader with sufficient detail to specify ERGMs, fit them to data with any of the available software packages and interpret the results.
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