Models and Methods in Social Network Analysis
Models and Methods in Social Network Analysis, first published in 2005, 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 articles by leading methodologists reviewing advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, 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, graphical techniques for exploring network data, and software for the analysis of social networks.
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Recent Developments in Network Measurement
Network Sampling and Model Fitting
Positional Analyses of Sociometric Data
Network Models and Methods for Studying the Diffusion of Innovations
Using Correspondence Analysis for Joint Displays of Affiliation Networks
An Introduction to Random Graphs Dependence Graphs and p
Random Graph Models for Social Networks Multiple Relations or Multiple Raters
Interdependences and Social Processes Dependence Graphs and Generalized Dependence Structures
Models for Longitudinal Network Data
Graphic Techniques for Exploring Social Network Data
Software for Social Network Analysis
acquaintanceship data actor-oriented model actors adjacency matrix affiliation network algorithm approach attribute Batagelj behavior blockmodel Borgatti centrality chapter cliques clusters column compute configurations coordinates core correspondence analysis covariates data set defined density dependence graph dependence structure dichotomized diffusion directed graphs distribution Doreian dyad dyadic edges effects egocentric networks example Figure Frank Freeman friendship graphic individuals interaction Journal logistic regression Markov chain Mathematical Sociology matrix measure methods moral graph MultiNet multiple multivariate NetMiner network data network exposure network models network structure nodes null observed organizations out-degrees pairs Pajek parameter estimates partition Pattison presented procedures pseudolikelihood pseudolikelihood estimates random graph random graph models random variables reciprocity relations relationships respondents Robins sampling scores Snijders social influence Social Network Analysis Sociology specific Stanley Wasserman statistical stochastic StOCNET structural equivalence studies subgraph subset survey Table transitivity two-mode UCINET Valente vectors vertex variables vertices visualization