Network Sampling

Network Sampling is a methodological technique in network analysis that systematically selects nodes or ties from a larger population network to construct a representative subnetwork for empirical study, distinguished by its focus on preserving structural and relational properties inherent to the original network.

362

Publications

27.2K

Citations

845

Authors

416

Institutions

Publications per year

2017–2026

74

Authors

845

  1. JN
    Jennifer Neville

    Purdue University West Lafayette, United States

    13 publications · 693 citations

    11

    h-index

  2. NK
    Nesreen K. Ahmed

    Intel (United States), United States

    10 publications · 619 citations

    10

    h-index

  3. MK
    Maciej Kurant

    École Polytechnique Fédérale de Lausanne, Switzerland

    9 publications · 1.4K citations

    9

    h-index

  4. AM
    Athina Markopoulou

    University of California, Irvine, United States

    9 publications · 1.4K citations

    9

    h-index

  5. CT
    Carter T. Butts

    University of California, Irvine, United States

    8 publications · 1.2K citations

    8

    h-index

1–5 of 845

Venues

  1. Social Networks

    18 publications · 1.7K citations

    16

    h-index

  2. arXiv (Cornell University)

    Repository · 17 publications · 497 citations

    14

    h-index

  3. Proceedings of the National Academy of Sciences

    PNAS · 14 publications · 1.4K citations

    12

    h-index

  4. Physical Review E

    PRE · 9 publications · 799 citations

    9

    h-index

  5. PLoS ONE

    8 publications · 417 citations

    8

    h-index

1–5