Models and Methods in Social Network Analysis / Edition 1

Models and Methods in Social Network Analysis / Edition 1

by Peter J. Carrington
     
 

Models and Methods in Social Network Analysis presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of original articles by leading methodologists reviewing… See more details below

Overview

Models and Methods in Social Network Analysis presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of original articles by leading methodologists reviewing recent advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodeling, the analysis of diffusion through networks, the analysis of affiliation or "two-mode" networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphic techniques for exploring network data, and software for the analysis of social networks.

Product Details

ISBN-13:
9780521600972
Publisher:
Cambridge University Press
Publication date:
02/07/2005
Series:
Structural Analysis in the Social Sciences Series, #28
Edition description:
New Edition
Pages:
344
Sales rank:
1,190,998
Product dimensions:
6.97(w) x 9.96(h) x 0.91(d)

Table of Contents

1Introduction1
2Recent developments in network measurement8
3Network sampling and model fitting31
4Extending centrality57
5Positional analyses of sociometric data77
6Network models and methods for studying the diffusion of innovations98
7Using correspondence analysis for joint displays of affiliation networks117
8An introduction to random graphs, dependence graphs, and p[superscript *]148
9Random graph models for social networks : multiple relations or multiple raters162
10Interdependencies and social processes : dependence graphs and generalized dependence structures192
11Models for longitudinal network data215
12Graphic techniques for exploring social network data248
13Software for social network analysis270

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