Social and Economic Networks

Social and Economic Networks
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Lucid and comprehensive, Jackson's book elegantly synthesizes several important strands of network science from sociology, physics, mathematics, computer science, and economics. It will be an immensely useful reference for researchers and students alike.

(Duncan Watts, Columbia University )

Product Description

Networks of relationships help determine the careers that people choose, the jobs they obtain, the products they buy, and how they vote. The many aspects of our lives that are governed by social networks make it critical to understand how they impact behavior, which network structures are likely to emerge in a society, and why we organize ourselves as we do. In Social and Economic Networks, Matthew Jackson offers a comprehensive introduction to social and economic networks, drawing on the latest findings in economics, sociology, computer science, physics, and mathematics. He provides empirical background on networks and the regularities that they exhibit, and discusses random graph-based models and strategic models of network formation. He helps readers to understand behavior in networked societies, with a detailed analysis of learning and diffusion in networks, decision making by individuals who are influenced by their social neighbors, game theory and markets on networks, and a host of related subjects. Jackson also describes the varied statistical and modeling techniques used to analyze social networks. Each chapter includes exercises to aid students in their analysis of how networks function.

This book is an indispensable resource for students and researchers in economics, mathematics, physics, sociology, and business.


Matthew O. Jackson is professor of economics at Stanford University.

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  • vieplivee
    05-11
    推一下此书。还没看完,可能一阵子也看不完了,因为我最喜欢的第二章看过好几遍了。非常非常棒。
  • 卜平
    11-06
    挺不错的一本教材。把博弈论推广到了social network结构中。大体范式类似,合作/非合作博弈,static或者sequential等。但相较线性分析,需要引入更多的基于network structure的概览分析,因此有更多的贝叶斯和markov假设,这能有效推演network diffusion的均衡状态。
  • arcora
    01-13
    扛鼎之作framework感觉还可以调整 random和strategic就可以化成两大块第二章真的把notion背后的motivation说的极其好感觉意犹未尽 和代数的结合还似乎没被穷尽。。。
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