Exponential random graph models for social networks : theories, methods, and applications /

"Exponential random graph models (ERGMs) are a class of statistical models for social networks. They account for the presence (and absence) of network ties and so provide a model for network structure. An ERGM models a given network in terms of small local tie-based structures, such as reciproc...

Full description

Bibliographic Details
Other Authors: Koskinen, Johan (Editor, http://id.loc.gov/vocabulary/relators/edt), Lusher, Dean (Editor, http://id.loc.gov/vocabulary/relators/edt), Robins, Garry (Editor, http://id.loc.gov/vocabulary/relators/edt)
Format: Book
Language:English
Published: Cambridge ; New York : Cambridge University Press, 2013
Series:Structural analysis in the social sciences ; 35
Structural analysis in the social sciences 35
Subjects:

Internet

Stanford University

Holdings details from Stanford University
Call Number: HM741 .E96 2013

Yale University

Holdings details from Yale University
Call Number: HM741 .E96X 2012 (LC)

University of Chicago

Holdings details from University of Chicago
Call Number: HM741 .E96 2012

Duke University

Holdings details from Duke University
Call Number: HM741 .E96 2013

Dartmouth College

Holdings details from Dartmouth College
Call Number: HM741 .E96 2013

Cornell University

Holdings details from Cornell University
Call Number: HM741 .E96 2012

Princeton University

Holdings details from Princeton University
Call Number: HM741 .E96 2012

Columbia University

Holdings details from Columbia University
Call Number: HM741 .E96 2012

University of Pennsylvania

Holdings details from University of Pennsylvania
Call Number: HM741 .E96 2013