Network Change-point Detection
Network Change-Point Detection is a methodological framework within dynamic network analysis that identifies statistically significant temporal transitions in network structure by detecting abrupt changes in topological patterns across sequential network observations.
104
Publications
4.1K
Citations
291
Authors
150
Institutions
Publications per year
2017–2026
36
Parents
104
Alexander G. Tartakovsky, B. L. Rozovskiĭ, Rudolf B. Blažek et al. · IEEE Transactions on Signal Processing · 2006 · 296 citations
Graph-based change-point detection
Hao Chen, Nancy R. Zhang · The Annals of Statistics · 2014 · 161 citations
Computing, Data Science, Data Mining +16
1–5 of 104
291
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University of Southern California, United States
3 publications · 634 citations
3
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3
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3
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2
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1–5 of 291
150
Carnegie Mellon University
Pittsburgh, United States
5 h-index
9 publications
329 citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
10 publications
355 citations
University of Southern California
Los Angeles, United States
5 h-index
11 publications
2.2K citations
University of California, Los Angeles
Los Angeles, United States
3 h-index
8 publications
250 citations

The University of Melbourne
Melbourne, Australia
3 h-index
3 publications
63 citations
Binghamton University
Binghamton, United States
3 h-index
3 publications
448 citations
University of California, Riverside
Riverside, United States
2 h-index
3 publications
122 citations
Roma Tre University
Rome, Italy
2 h-index
5 publications
65 citations
1–8 of 150
Repository · 7 publications · 169 citations
7
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3 publications · 412 citations
3
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2 publications · 59 citations
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2 publications · 34 citations
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2 publications · 96 citations
2
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