Temporal Network Mining

Temporal Network Mining is a subfield of Social Network Mining that focuses on the analysis and modeling of network structures and dynamics over time, distinguishing itself by explicitly incorporating temporal patterns and evolution in the extraction of meaningful relationships and behaviors.

75

Publications

3K

Citations

225

Authors

121

Institutions

Publications per year

2017–2026

36

Authors

225

  1. RL
    Rong-Hua Li

    Beijing Institute of Technology, China

    6 publications · 245 citations

    7

    h-index

  2. GW
    Guoren Wang

    Northeastern University, China

    4 publications · 105 citations

    5

    h-index

  3. HQ
    Hongchao Qin

    Beijing Institute of Technology, China

    4 publications · 105 citations

    5

    h-index

  4. YY
    Ye Yuan

    Beijing Institute of Technology, China

    4 publications · 105 citations

    5

    h-index

  5. LQ
    Lu Qin

    University of Technology Sydney, Australia

    4 publications · 202 citations

    4

    h-index

1–5 of 225

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 3 publications · 68 citations

    4

    h-index

  2. Applied Network Science

    ANS · 2 publications · 93 citations

    2

    h-index

  3. IEEE Transactions on Big Data

    2 publications · 35 citations

    2

    h-index

  4. Tsinghua Science & Technology

    1 publications · 13 citations

    1

    h-index

  5. IEEE Access

    1 publications · 24 citations

    1

    h-index

1–5