Fred Feinberg’s research while affiliated with University of Michigan and other places

What is this page?


This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.

Publications (1)


Graphical framework for network-choice models
Choices in networks: a research framework
  • Article
  • Publisher preview available

December 2020

·

113 Reads

·

9 Citations

Marketing Letters

Fred Feinberg

·

Elizabeth Bruch

·

·

[...]

·

Mario L. Small

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.

View access options

Citations (1)


... One of the crucial aspects of human decision making is that, as fundamentally social creatures, our preferences are strongly influenced by our social context. Viral trends, conformity, word-of-mouth, and signaling all play roles in behavior, including choices (Feinberg et al., 2020;Axsen & Kurani, 2012). Additionally, people with similar preferences, beliefs, and identities are more likely to be friends in the first place, a phenomenon known as homophily (McPherson et al., 2001). ...

Reference:

Graph-based methods for discrete choice
Choices in networks: a research framework

Marketing Letters