Topic Burst Detection

Topic Burst Detection is a methodological framework in event detection that identifies sudden, significant increases in the frequency or prominence of specific topics within a document stream over time, distinguishing itself by focusing on temporal spikes in topic-related activity rather than gradual trends or static topic distribution.

76

Publications

3.7K

Citations

267

Authors

140

Institutions

Publications per year

2017–2026

43

Authors

267

  1. SM
    Seyed Mohammad Jafar Jalali

    Deakin University, Australia

    5 publications · 121 citations

    5

    h-index

  2. FZ
    Feida Zhu

    Singapore Management University, Singapore

    4 publications · 559 citations

    4

    h-index

  3. WZ
    Wei Zhou

    Yunnan University of Finance And Economics, China

    4 publications · 172 citations

    4

    h-index

  4. JJ
    Jing Jiang

    Singapore Management University, Singapore

    4 publications · 561 citations

    4

    h-index

  5. EL
    Ee‐Peng Lim

    Singapore Management University, Singapore

    3 publications · 541 citations

    3

    h-index

1–5 of 267

Venues

  1. Sustainability

    4 publications · 247 citations

    4

    h-index

  2. International Journal of Business Information Systems

    IJBIS · 2 publications · 35 citations

    2

    h-index

  3. Economic Research-Ekonomska Istraživanja

    2 publications · 108 citations

    2

    h-index

  4. Frontiers in Oncology

    2 publications · 90 citations

    2

    h-index

  5. Journal of Information Science

    JIS · 2 publications · 85 citations

    2

    h-index

1–5