Web Structure Mining

Web Structure Mining is a subfield of Web Mining that analyzes the hyperlink structure of the web to extract information about the relationships and organizational patterns among web pages, distinguishing it from other web mining types by focusing on topological and structural attributes rather than content or usage data.

376

Publications

25K

Citations

860

Authors

362

Institutions

Publications per year

2017–2026

30

Parents

Authors

860

  1. JH
    Jan-Ming Ho

    Institute of Information Science, Academia Sinica, Taiwan

    7 publications · 655 citations

    7

    h-index

  2. SL
    Shian-Hua Lin

    National Chi Nan University, Taiwan

    5 publications · 588 citations

    5

    h-index

  3. MC
    Ming-Syan Chen⋆

    National Taiwan University, Taiwan

    5 publications · 520 citations

    5

    h-index

  4. AT
    Andrew Tomkins

    IBM Research - Almaden, United States

    5 publications · 3.5K citations

    5

    h-index

  5. HK
    Hung‐Yu Kao

    National Cheng Kung University, Taiwan

    5 publications · 201 citations

    5

    h-index

1–5 of 860

Venues

  1. Expert Systems with Applications

    9 publications · 362 citations

    9

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 8 publications · 665 citations

    8

    h-index

  3. ACM SIGKDD Explorations Newsletter

    5 publications · 1.8K citations

    5

    h-index

  4. ACM Transactions on Internet Technology

    TOIT · 5 publications · 882 citations

    5

    h-index

  5. Information Processing & Management

    5 publications · 100 citations

    5

    h-index

1–5