Exponential Random Graph Models for Social Networks―Theories, Methods, and Applications

系列名：Structural Analysis in the Social Sciences
ISBN13：9780521193566
出版社：Cambridge Univ Pr
作者：Dean Lusher
裝訂／頁數：精裝／352頁
規格：24.1cm*16.5cm*2.5cm (高/寬/厚)
出版日：2012/10/31
關鍵字： Exponential Random Graph Models for Social Networks―Theories, Methods, and Applications、 Exponential、 Random、 Graph、 Models、 for、 Social、 Networks、 Theories、 Methods、 and、 Applications、 Cambridge Univ Pr、 Dean Lusher、外文書、人文社科、社會科學、

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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.