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Choices in networks: a research framework
Marketing Letters ( IF 3.426 ) Pub Date : 2020-10-02 , DOI: 10.1007/s11002-020-09541-9
Fred Feinberg , Elizabeth Bruch , Michael Braun , Brett Hemenway Falk , Nina Fefferman , Elea McDonnell Feit , John Helveston , Daniel Larremore , Blakeley B. McShane , Alice Patania , 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.



中文翻译:

网络选择:研究框架

网络在生活中无处不在,结构选择可供选择并影响其相对吸引力。在本文中,我们提出了网络科学和选择理论的整合,而不仅仅是将一个领域的指标整合到另一个领域的模型中。我们为“网络选择模型”建立了类型和框架,以突出选择在网络环境中发生和影响网络环境的独特方式,以及两个特定的反馈过程来指导它们之间的相互影响,紧急评估或有选择权。在此过程中,我们将讨论示例,数据源,方法挑战,预期收益以及将网络和选择模型完全交织在一起的研究途径。

更新日期:2020-10-02
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