Social Network Analysis Methods and Applications

ISBN-10: 0521387078
ISBN-13: 9780521387071
Edition: 1994
List price: $67.00 Buy it from $31.75
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Description: Social network analysis is used widely in the social and behavioral sciences, as well as in economics, marketing, and industrial engineering. The social network perspective focuses on relationships among social entities and is an important addition  More...

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Book details

List price: $67.00
Copyright year: 1994
Publisher: Cambridge University Press
Publication date: 11/25/1994
Binding: Paperback
Pages: 857
Size: 6.25" wide x 9.00" long x 1.50" tall
Weight: 2.222
Language: English

Social network analysis is used widely in the social and behavioral sciences, as well as in economics, marketing, and industrial engineering. The social network perspective focuses on relationships among social entities and is an important addition to standard social and behavioral research, which is primarily concerned with attributes of the social units. Social Network Analysis: Methods and Applications reviews and discusses methods for the analysis of social networks with a focus on applications of these methods to many substantive examples. It is a reference book that can be used by those who want a comprehensive review of network methods, or by researchers who have gathered network data and want to find the most appropriate method by which to analyze it. It is also intended for use as a textbook as it is the first book to provide comprehensive coverage of the methodology and applications of the field.

Dawn Iacobucci is the E. Bronson Ingram Professor of Marketing at the Owen Graduate School of Management, Vanderbilt University.nbsp; Previously she was the Senior Associate Dean for Owen (2008-2010), Professor of Marketing at the Kellogg School of Management, Northwestern University (1987-2004), the Coca-Cola Distinguished Professor of Marketing, Professor of Psychology and Head of the Marketing Department of the University of Arizona (2001-2002), and the John Pomerantz Professor of Marketing at Wharton, of the University of Pennsylvania (2004 to 2007). She received her M.S. in Statistics, and M.A. and Ph.D. in Quantitative Psychology from the University of Illinois at Urbana-Champaign.nbsp; Her research on models for social networks and other methodological research questions has been published in the Journal of Marketing, the Journal of Marketing Research, Harvard Business Review, Journal of Consumer Psychology, International Journal of Research in Marketing, Marketing Science, Journal of Service Research, Psychometrika, Psychological Bulletin, and Social Networks.nbsp; Iacobucci teaches Marketing Management, Marketing Strategy, Marketing Research, Marketing Models, Services Marketing, and New Products to MBA and undergraduate students and multivariate statistics and methodological topics in Ph.D. seminars.nbsp; She is recent editor of both the Journal of Consumer Research and Journal of Consumer Psychology.nbsp; She edited Networks in Marketing, Handbook of Services Marketing and Management, Kellogg on Marketing, Kellogg on Integrated Marketing, she is author of Marketing Management (Thomson), the first new MBA text in years, Mediation Analysis, and she is co-author on Gilbert Churchill's lead text on Marketing Research (Thomson).

Introduction: Networks, Relations, and Structure
Relations and networks in the social and behavioral sciences
Social network data: collection and application
Mathematical Representations of Social Networks
Notation
Graphs and matrixes
Structural and Locational Properties
Centrality, prestige, and related actor and group measures
Structural balance, clusterability, and transitivity
Cohesive subgroups
Affiliations, co-memberships, and overlapping subgroups
Roles and Positions
Structural equivalence
Blockmodels
Relational algebras
Network positions and roles
Dyadic and Triadic Methods
Dyads
Triads
Statistical Dyadic Interaction Models
Statistical analysis of single relational networks
Stochastic blockmodels and goodness-of-fit indices
Epilogue
Future directions

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