Interaction Pattern Detection

Interaction Pattern Detection is a methodological framework in interaction analysis that identifies and characterizes recurrent, structured behaviors among participants by distinguishing underlying interactional regularities from raw interaction data.

105

Publications

6.5K

Citations

382

Authors

204

Institutions

Publications per year

2017–2026

32

Authors

382

  1. TO
    Tadashi Ohta

    Soka University, Japan

    3 publications · 56 citations

    3

    h-index

  2. YL
    Yunfan Liu

    University of Chinese Academy of Sciences, China

    2 publications · 548 citations

    2

    h-index

  3. XL
    Xieyang Liu

    University of Michigan, United States

    2 publications · 548 citations

    2

    h-index

  4. ÉJ
    Étienne Jean

    Centre National de la Recherche Scientifique, France

    2 publications · 156 citations

    2

    h-index

  5. VF
    Vittore F. Scolari

    Sorbonne Université, France

    2 publications · 156 citations

    2

    h-index

1–5 of 382

Venues

  1. Computer Networks

    6 publications · 138 citations

    6

    h-index

  2. FIW

    4 publications · 116 citations

    4

    h-index

  3. arXiv (Cornell University)

    Repository · 3 publications · 110 citations

    3

    h-index

  4. BMC Bioinformatics

    3 publications · 222 citations

    3

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 191 citations

    2

    h-index

1–5