Text Networks

Text Networks is a computational framework that models textual data as a network structure, where nodes represent linguistic units and edges capture their semantic or syntactic relationships, enabling the visualization and analysis of text through graph-theoretic methods.

517

Publications

25.3K

Citations

1.4K

Authors

520

Institutions

Publications per year

2017–2026

252

Authors

1.4K

  1. DR
    Diego R. Amancio

    Universidade de São Paulo, Brazil

    12 publications · 547 citations

    12

    h-index

  2. LD
    Luciano da Fontoura Costa

    Universidade de São Paulo, Brazil

    8 publications · 513 citations

    8

    h-index

  3. JH
    Jiawei Han

    University of Illinois Urbana-Champaign, United States

    8 publications · 337 citations

    8

    h-index

  4. KM
    Kathleen M. Carley

    Carnegie Mellon University, United States

    7 publications · 312 citations

    7

    h-index

  5. AA
    Apoorv Agarwal

    Columbia University, United States

    5 publications · 224 citations

    5

    h-index

1–5 of 1.4K

Venues

  1. arXiv (Cornell University)

    Repository · 23 publications · 764 citations

    17

    h-index

  2. 12

    h-index

  3. PLoS ONE

    11 publications · 561 citations

    11

    h-index

  4. Expert Systems with Applications

    6 publications · 460 citations

    7

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 7 publications · 346 citations

    7

    h-index

1–5