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Topics include: network data collection and measurement; network sampling; centrality measures for groups; blockmodelling; diffusion models; correspondence analysis for two-mode networks; statistics stemming from the p* model; models for longitudinal network data; ways to draw ni...

Models and methods in social network analysis

(2005)

被引用1761|浏览46
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摘要

Network analysis has been booming and developing for several decades. Network analysis is popular in every kind of academic social science, applied social science areas like marketing, studies of nonhuman social life, branches of mathematics, computer science, and even physics. To help organize the floods of new material and make them acc...更多

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简介
  • Network analysis has been booming and developing for several decades. Network analysis is popular in every kind of academic social science, applied social science areas like marketing, studies of nonhuman social life, branches of mathematics, computer science, and even physics.
  • The editors of this book have done a wonderful job in getting the very top people to write chapters on new methods which are in their areas of expertise, but are mainly methods which the authors themselves have developed.
  • After a brief introduction, the author or authors assume that the reader understands network analysis fundamentals, or essential bits of mathematics or both.
重点内容
  • Network analysis has been booming and developing for several decades
  • Topics include: network data collection and measurement; network sampling; centrality measures for groups; blockmodelling; diffusion models; correspondence analysis for two-mode networks; statistics stemming from the p* model; models for longitudinal network data; ways to draw nice pictures of networks; and the advantages and disadvantages of the more important computer programs for network analysis
  • After a brief introduction, the author or authors assume that the reader understands network analysis fundamentals, or essential bits of mathematics or both
  • Real beginners should start with one of the earlier introductory books; people who do some network analysis, without being technical experts, should get the book for reference and pick and choose the bits they need; and all really serious network analysts must put this book on their shelves, right next to their copies of Wasserman and Faust
  • Every researcher needs to collect data and do network measurements, but the book includes just one chapter on this, a chapter necessarily so jam-packed that the reader will have
  • Canadian Journal of Sociology Online September-October 2005 Carrington et al, Methods in Network Analysis - 2 to go to the original references to learn how to do things
结果
  • Like Marsden on network measurement, are readable for any seriously interested scholar.
  • Real beginners should start with one of the earlier introductory books; people who do some network analysis, without being technical experts, should get the book for reference and pick and choose the bits they need; and all really serious network analysts must put this book on their shelves, right next to their copies of Wasserman and Faust.
  • There are hordes of serious network researchers who want and need some help in getting up to speed on advances that are less mathematically hip but get used a lot in practice.
  • These are important, but only a fraction of network researchers use them.
  • Every researcher needs to collect data and do network measurements, but the book includes just one chapter on this, a chapter necessarily so jam-packed that the reader will have
  • Canadian Journal of Sociology Online September-October 2005 Carrington et al, Methods in Network Analysis - 2 to go to the original references to learn how to do things.
  • Most researchers sooner or later want to draw a beautiful and informative picture of a network, but there is only one chapter on this, and this chapter only describes one approach among many.
  • The author's second modest complaint concerns the usability of some chapters for people who are not already technical experts.
  • Some chapters go to a great deal of effort in motivating the method, giving substantively interesting examples, and either explaining how to use them or giving references to good practical expositions.
  • The chapters on measurement and on diffusion both refer to some work around the world, but without discussing technical challenges as much as the author would like.
结论
  • The other chapters, devoted more exclusively to data analysis, neglect cross-cultural research issues entirely.
  • Their review is up to date, comprehensive, informative, and balanced; many people will consult it before choosing their programs.
  • These people may cite the original references for the programs, not this chapter.
引用论文
  • Degenne, Alain, and Michel Forse. 1999. Introducing Social Networks. London: Sage. Scott, John. 2000. Social Network Analysis. 2nd eition. London: Sage. Wasserman, Stanley and Katherine Faust. 1994. Social Network Analysis: Methods and Applications. New
    Google ScholarLocate open access versionFindings
  • http://www.cjsonline.ca/reviews/netmethods.html September 2005
    Findings
作者
peter j carrington
peter j carrington
john scott
john scott
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