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

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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
社会网络分析
指数随机图模型
ERGM
网络科学
统计建模
社交网络
图论
统计学
数据分析
网络分析

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具体描述

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.