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Social phenomena: from data analysis to models

机译:社会现象:从数据分析到模型

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Composed of two parts, "Social Behavior Under Normal Conditions" and "Social Behavior Under Stress," it is really unique and interesting as a data analysis book titled like a classical social science book. In addition to the introductory chapter, there are seven chapters in the first part and four chapters in the second part. Each chapter (except the last) is written by a team from various disciplines. As an example, the authors of the second chapter, "Modeling and Understanding Intrinsic Characteristics of Human Mobility," are from systems engineering, the Massachusetts Institute of Technology (MIT) Media Lab, and civil and environmental engineering. On the other hand, the authors of chapter 7, "The Contagion of Prosocial Behavior and the Emergence of Voluntary-Contribution Communities," are from sociology and information systems departments. This makes it more like a reference book rather than a book to be read in one sitting, expecting coherent comprehension of a single topic. This is also the strength of the book, to be potentially utilized by scientists from many disciplines who are interested in data analysis and modeling.
机译:它由“正常情况下的社会行为”和“压力下的社会行为”两部分组成,作为一本数据分析书,就像一本经典的社会科学书一样,确实是独特而有趣的。除介绍性章节外,第一部分有七章,第二部分有四章。每章(最后一章除外)均由来自不同学科的团队撰写。例如,第二章“建模和理解人类流动的内在特征”的作者来自系统工程,麻省理工学院(MIT)媒体实验室以及土木和环境工程。另一方面,第7章“亲社会行为的传染和自愿捐款社区的出现”的作者来自社会学和信息系统部门。这使得它更像是参考书,而不是一口气阅读的书,因为它期望对单个主题有连贯的理解。这也是本书的优势,可供对数据分析和建模感兴趣的许多学科的科学家潜在地使用。

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