%0 Book %1 CarringtonScott:2005 %B Models and methods in social network analysis %C Cambridge %D 2005 %E Carrington, Peter J. %E Scott, John %E Wasserman, Stanley %I Cambridge University Press %K methodology network-analysis social %T Models and methods in social network analysis %X 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 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. * Presents the most important developments in quantitative models and methods for analyzing social network data that have recently appeared * A collection of original articles by leading methodologists * A complement to Wasserman and Faust's Social Network Analysis: Methods and Applications * Illustrated with substantive applications %Z Edited volume on social network analysis, ideally suited for a more in-depth follow-up on Knoke and Yang (2008) Social Network Analysis (2nd ed.). %@ 9780521809597 (hardback)

@book{CarringtonScott:2005, abstract = {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 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. * Presents the most important developments in quantitative models and methods for analyzing social network data that have recently appeared * A collection of original articles by leading methodologists * A complement to Wasserman and Faust's Social Network Analysis: Methods and Applications * Illustrated with substantive applications}, added-at = {2010-03-02T17:25:53.000+0100}, address = {Cambridge}, annote = {Edited volume on social network analysis, ideally suited for a more in-depth follow-up on Knoke and Yang (2008) Social Network Analysis (2nd ed.).}, bdsk-url-1 = {http://www.cambridge.org/catalogue/catalogue.asp?isbn=9780521600972}, bdsk-url-2 = {http://books.google.com/books/cambridge?ie=UTF-8&vid=ISBN0521809592&refid=ca-print-cambridge&q=&submit=Go}, biburl = {https://www.bibsonomy.org/bibtex/2a74699f10d2c1425fc70777cfe816f85/jrennstich}, booktitle = {Models and methods in social network analysis}, call-number = {HM741}, date-added = {2008-07-01 12:13:41 -0400}, date-modified = {2010-02-28 21:03:29 -0500}, dewey-call-number = {302.3}, editor = {Carrington, Peter J. and Scott, John and Wasserman, Stanley}, genre = {Social networks}, interhash = {5bfc874f85c252528aba40307955ae1f}, intrahash = {a74699f10d2c1425fc70777cfe816f85}, isbn = {9780521809597 (hardback)}, keywords = {methodology network-analysis social}, library-id = {2004051888}, publisher = {Cambridge University Press}, rating = {5}, timestamp = {2010-03-06T17:26:04.000+0100}, title = {Models and methods in social network analysis}, year = 2005 }