Behavioral Event Modeling

Behavioral Event Modeling is a computational framework that formalizes the representation, detection, and analysis of user-generated actions within digital environments by specifying event structures, temporal dynamics, and behavioral semantics to distinguish meaningful interactions from raw activity traces.

32

Publications

2K

Citations

81

Authors

41

Institutions

Publications per year

2017–2026

7

Authors

81

  1. DC
    Datong Chen

    Carnegie Mellon University, United States

    2 publications · 84 citations

    2

    h-index

  2. CT
    Carter T. Butts

    University of California, Irvine, United States

    2 publications · 526 citations

    2

    h-index

  3. GF
    Grégory Faraut

    École Normale Supérieure Paris-Saclay, France

    2 publications · 78 citations

    2

    h-index

  4. VB
    Vı́ctor Braberman

    Universidad de Buenos Aires, Argentina

    1 publications · 78 citations

    1

    h-index

  5. RM
    Ryan Mutter

    Agency for Healthcare Research and Quality, United States

    1 publications · 160 citations

    1

    h-index

1–5 of 81

Venues

  1. Journal of School Leadership

    JSL · 1 publications · 39 citations

    1

    h-index

  2. Social Network Analysis and Mining

    1 publications · 17 citations

    1

    h-index

  3. Journal of Statistical Software

    JSS · 1 publications · 47 citations

    1

    h-index

  4. Computer

    1 publications · 33 citations

    1

    h-index

  5. Future Generation Computer Systems

    FGCS · 1 publications · 127 citations

    1

    h-index

1–5