Modeling collaboration in academia: A game theoretic approach

Qiang Ma, S. Muthukrishnan, Brian Thompson, Graham Cormode

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    In this work, we aim to understand the mechanisms driving academic collaboration. We begin by building a model for how researchers split their effort between multiple papers, and how collaboration affects the number of citations a paper receives, supported by observations from a large real-world publication and citation dataset, which we call the h-Reinvestment model. Using tools from the field of Game Theory, we study researchers' collaborative behavior over time under this model, with the premise that each researcher wants to maximize his or her academic success. We find analytically that there is a strong incentive to collaborate rather than work in isolation, and that studying collaborative behavior through a game-theoretic lens is a promising approach to help us better understand the nature and dynamics of academic collaboration.

    Original languageEnglish (US)
    Title of host publicationWWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web
    PublisherAssociation for Computing Machinery, Inc
    Pages1177-1182
    Number of pages6
    ISBN (Electronic)9781450327459
    DOIs
    StatePublished - Apr 7 2014
    Event23rd International Conference on World Wide Web, WWW 2014 - Seoul, Korea, Republic of
    Duration: Apr 7 2014Apr 11 2014

    Publication series

    NameWWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web

    Conference

    Conference23rd International Conference on World Wide Web, WWW 2014
    CountryKorea, Republic of
    CitySeoul
    Period4/7/144/11/14

    Keywords

    • Academia
    • Collaboration
    • Game theory
    • H-index

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Software

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