Choices in networks: a research framework

Fred Feinberg; Elizabeth Bruch; Michael Braun; Brett Hemenway Falk; Nina Fefferman; Elea Mc Donnell Feit; John Helveston; Daniel Larremore; Blakeley B. McShane; Alice Patania; Mario L. Small

doi:10.1007/s11002-020-09541-9

Choices in networks: a research framework

Fred Feinberg^*, Elizabeth Bruch^*, Michael Braun, Brett Hemenway Falk, Nina Fefferman, Elea Mc Donnell Feit, John Helveston, Daniel Larremore, Blakeley B. McShane, Alice Patania, Mario L. Small

^*Corresponding author for this work

Marketing

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	349-359
Number of pages	11
Journal	Marketing Letters
Volume	31
Issue number	4
DOIs	https://doi.org/10.1007/s11002-020-09541-9
State	Published - Dec 2020

Keywords

Choice models
Computational social science
Data science
Decision theory
Marketing
Networks

ASJC Scopus subject areas

Business and International Management
Economics and Econometrics
Marketing

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10.1007/s11002-020-09541-9

Cite this

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title = "Choices in networks: a research framework",

abstract = "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.",

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AU - Feinberg, Fred

AU - Bruch, Elizabeth

AU - Braun, Michael

AU - Falk, Brett Hemenway

AU - Fefferman, Nina

AU - Feit, Elea Mc Donnell

AU - Helveston, John

AU - Larremore, Daniel

AU - McShane, Blakeley B.

AU - Patania, Alice

AU - Small, Mario L.

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N2 - 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.

AB - 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.

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Choices in networks: a research framework

Abstract

Keywords

ASJC Scopus subject areas

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