Social Network Analysis

Social Network Analysis is an academic methodology within the broader field of network science that systematically examines the structure and dynamics of relational data by identifying patterns of connections among social entities to infer their roles, influence, and interactions within a network.

26.6K

Publications

2.3M

Citations

50.3K

Authors

7.7K

Institutions

Publications per year

2017–2026

9.7K

Authors

50.3K

  1. JL
    Jure Leskovec

    Stanford University, United States

    75 publications · 30.6K citations

    51

    h-index

  2. RS
    Ronald S. Burt

    University of Chicago, United States

    59 publications · 26.1K citations

    46

    h-index

  3. JK
    Jon Kleinberg

    Cornell University, United States

    56 publications · 27.7K citations

    43

    h-index

  4. PS
    Philip S. Yu

    University of Illinois Chicago, United States

    89 publications · 6K citations

    40

    h-index

  5. TA
    Tom A. B. Snijders

    University of Groningen, Netherlands

    54 publications · 10.8K citations

    39

    h-index

1–5 of 50.3K

Venues

  1. Social Networks

    485 publications · 79.3K citations

    125

    h-index

  2. Proceedings of the National Academy of Sciences

    PNAS · 137 publications · 43.5K citations

    87

    h-index

  3. PLoS ONE

    431 publications · 32.7K citations

    85

    h-index

  4. Physica A Statistical Mechanics and its Applications

    472 publications · 27.1K citations

    73

    h-index

  5. Computers in Human Behavior

    173 publications · 17.6K citations

    70

    h-index

1–5