Modeling Multiple Relationships in Social Networks

Journal of Marketing Research, Vol. 48, No. 4, pp. 713-728, 2011

17 Pages Posted: 17 Nov 2011

See all articles by Asim Ansari

Asim Ansari

Columbia Business School - Marketing

Oded Koenigsberg

London Business School - Department of Marketing

Florian Stahl

Mannheim Business School

Date Written: August 2011

Abstract

Firms are increasingly seeking to harness the potential of social networks for marketing purposes. Therefore, marketers are interested in understanding the antecedents and consequences of relationship formation within networks and in predicting interactivity among users. The authors develop an integrated statistical framework for simultaneously modeling the connectivity structure of multiple relationships of different types on a common set of actors. Their modeling approach incorporates several distinct facets to capture both the determinants of relationships and the structural characteristics of multiplex and sequential networks. They develop hierarchical Bayesian methods for estimation and illustrate their model with two applications: the first application uses a sequential network of communications among managers involved in new product development activities, and the second uses an online collaborative social network of musicians. The authors' applications demonstrate the benefits of modeling multiple relations jointly for both substantive and predictive purposes. They also illustrate how information in one relationship can be leveraged to predict connectivity in another relation.

Suggested Citation

Ansari, Asim and Koenigsberg, Oded and Stahl, Florian, Modeling Multiple Relationships in Social Networks (August 2011). Journal of Marketing Research, Vol. 48, No. 4, pp. 713-728, 2011 . Available at SSRN: https://ssrn.com/abstract=1960262

Asim Ansari (Contact Author)

Columbia Business School - Marketing ( email )

New York, NY 10027
United States

Oded Koenigsberg

London Business School - Department of Marketing ( email )

Sussex Place
Regent's Park
London, NW1 4SA
United Kingdom

Florian Stahl

Mannheim Business School ( email )

L 5, 2
Mannheim, 68131
Germany
+496211811563 (Phone)

HOME PAGE: http://quantmarketing.bwl.uni-mannheim.de/

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
416
Abstract Views
1,639
rank
72,362
PlumX Metrics