Multidimensional Platform Design | Zendy

André Veiga | Zendy; E. Glen Weyl | Zendy; Alexander White | Zendy

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Multidimensional Platform Design

Author(s) -

André Veiga,

E. Glen Weyl,

Alexander White

Publication year - 2017

Publication title -

american economic review

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 16.936

H-Index - 297

eISSN - 1944-7981

pISSN - 0002-8282

DOI - 10.1257/aer.p20171044

Subject(s) - monetization , centrality , sorting , value (mathematics) , computer science , state (computer science) , microeconomics , network effect , economics , human–computer interaction , mathematics , algorithm , combinatorics , machine learning , macroeconomics , programming language

Successful platforms attract not just many users, but also those of the right kind. 'The right kind of user' is one who can either be directly monetized or who differentially attracts other valuable users. Bonacich centrality on the network of user sorting with direct value of monetization captures this feedback loop and thus characterizes the value of user characteristics. We use this value to determine optimal steady-state platform design and reliable means for platforms to reach such a steady state. We apply these results respectively to explain the dynamic growth strategy of social networks and urban development policies of cities.

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