Exponential Random Graph Models for Social Networks

Exponential Random Graph Models for Social Networks pdf epub mobi txt 电子书 下载 2025

出版者:Cambridge University Press
作者:Lusher, Dean; Koskinen, Johan; Robbins, Garry
出品人:
页数:360
译者:
出版时间:2012-11-19
价格:USD 34.99
装帧:Paperback
isbn号码:9780521141383
丛书系列:Structural Analysis in the Social Sciences
图书标签:
  • 数学 
  • social.network 
  • Math 
  • 统计学 
  • 社会网络分析 
  • 社会学 
  • 澳大利亚 
  • 方法论 
  •  
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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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把略复杂的measure讲的很好懂。good reference book。

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把略复杂的measure讲的很好懂。good reference book。

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ERGM

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把略复杂的measure讲的很好懂。good reference book。

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ERGM

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