Behavioral Retention Modeling

Behavioral Retention Modeling is a computational framework that distinguishes itself by predicting user retention in digital platforms through the analysis of sequential behavioral patterns, as opposed to relying solely on demographic or static usage attributes.

18

Publications

722

Citations

57

Authors

36

Institutions

Publications per year

2017–2026

5

Authors

57

  1. RS
    Rafet Sifa

    Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany

    2 publications · 206 citations

    2

    h-index

  2. AD
    Anders Drachen

    University of York, United Kingdom

    2 publications · 206 citations

    2

    h-index

  3. KC
    Kuan-Ta Chen

    Institute of Information Science, Academia Sinica, Taiwan

    2 publications · 36 citations

    2

    h-index

  4. PT
    Pin-Yun Tarng

    National Taiwan University, Taiwan

    2 publications · 36 citations

    2

    h-index

  5. LA
    Lada A. Adamic

    University of Michigan, United States

    1 publications · 29 citations

    1

    h-index

1–5 of 57

Venues

  1. 1

    h-index

  2. 1

    h-index

  3. Libri

    1 publications · 44 citations

    1

    h-index

  4. Social Science Computer Review

    SSCR · 1 publications · 46 citations

    1

    h-index

  5. Network and System Support for Games

    Conference · 1 publications · 20 citations

    1

    h-index

1–5