Choices in networks a research framework

Networks are ubiquitous in life, structuring options available for choice and influencing their relative attractiveness. In this article, we propose an integration of network science and choice theory beyond merely incorporating metrics from one area into models of the other. We posit a typology and...

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Bibliographic Details
Published inMarketing letters Vol. 31; no. 4; pp. 349 - 359
Main Authors Feinberg, Fred, Bruch, Elizabeth, Braun, Michael, Falk, Brett Hemenway, Fefferman, Nina, Feit, Elea McDonnell, Helveston, John, Larremore, Daniel, McShane, Blakeley B., Patania, Alice, Small, Mario L.
Format Journal Article
LanguageEnglish
Published New York Springer Science + Business Media 01.12.2020
Springer US
Springer Nature B.V
Subjects
Business and Management
Data science
Decision making models
Decision theory
Growth models
Influence
Marketing
Science
Social sciences
Special Issue for the 11th Triennial Invitational Choice Symposium
Valuation
Data science
Networks
Decision theory
Computational social science
Choice models
Marketing
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Summary:Networks are ubiquitous in life, structuring options available for choice and influencing their relative attractiveness. In this article, we propose an integration of network science and choice theory beyond merely incorporating metrics from one area into models of the other. We posit a typology and framework for “network-choice models” that highlight the distinct ways choices occur in and influence networked environments, as well as two specific feedback processes that guide their mutual interaction, emergent valuation and contingent options. In so doing, we discuss examples, data sources, methodological challenges, anticipated benefits, and research pathways to fully interweave network and choice models.
ISSN:0923-0645
1573-059X
DOI:10.1007/s11002-020-09541-9