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
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3.7K
Citations
267
Authors
140
Institutions
Publications per year
2017–2026
43
Parents
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Mining correlated bursty topic patterns from coordinated text streams
Xuanhui Wang, ChengXiang Zhai, Xiao Hu et al. · 2007 · 198 citations
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Allameh Tabataba'i University
Tehran, Iran
6 h-index
9 publications
198 citations
Singapore Management University
Singapore, Singapore
5 h-index
16 publications
2.3K citations

Sichuan University
Chengdu, China
4 h-index
11 publications
556 citations
Yunnan University of Finance And Economics
Kunming, China
4 h-index
7 publications
400 citations

University of Tehran
Tehran, Iran
3 h-index
4 publications
116 citations
Indiana University Bloomington
Bloomington, United States
2 h-index
4 publications
484 citations
Fasa University
Fasa, Iran
2 h-index
2 publications
56 citations

Hiroshima City University
Hiroshima, Japan
2 h-index
3 publications
66 citations
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4 publications · 247 citations
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IJBIS · 2 publications · 35 citations
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2 publications · 108 citations
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2 publications · 90 citations
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JIS · 2 publications · 85 citations
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