Temporal Community Detection is a computational method in dynamic network analysis that identifies evolving group structures over time by distinguishing itself from static community detection through its explicit modeling of temporal changes in node connectivity patterns.
93
Publications
6.8K
Citations
261
Authors
131
Institutions
Publications per year
2017–2026
48
Parents
Publications
93
Jimeng Sun, Christos Faloutsos, Spiros Papadimitriou et al. · 2007 · 545 citations
Tracking the Evolution of Communities in Dynamic Social Networks
Derek Greene, Dónal Doyle, Pádraig Cunningham · 2010 · 537 citations · Full text
Distributed community detection in delay tolerant networks
Pan Hui, Eiko Yoneki, Shu Yan Chan et al. · 2007 · 372 citations
1–5 of 93
Authors
261
- PJ
7
h-index
- RL
6
h-index
- YY
5
h-index
- HQ
5
h-index
- GW
5
h-index
1–5 of 261
Institutions
131
Beijing Institute of Technology
Beijing, China
6 h-index
15 publications
479 citations
Tianjin University
Tianjin, China
4 h-index
15 publications
188 citations
University of Technology Sydney
Sydney, Australia
4 h-index
4 publications
202 citations
Michigan State University
East Lansing, United States
4 h-index
12 publications
452 citations
Cornell University
Ithaca, United States
3 h-index
12 publications
1.8K citations
National Research Council
Rome, Italy
3 h-index
8 publications
660 citations
Arizona State University
Tempe, United States
3 h-index
5 publications
680 citations
UCLouvain
Louvain-la-Neuve, Belgium
2 h-index
3 publications
90 citations
1–8 of 131
Venues
- IEEE Transactions on Knowledge and Data Engineering
TKDE · 4 publications · 405 citations
5
h-index
- Proceedings of the National Academy of Sciences
PNAS · 4 publications · 1.1K citations
4
h-index
- PLoS ONE
4 publications · 385 citations
4
h-index
- Scientific Reports
4 publications · 135 citations
4
h-index
- 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)
Conference · 2 publications · 33 citations
2
h-index
1–5