Name
Abstract | ||
|---|---|---|
Change-point detection is a task that looks for specific moments across which a network changes fundamentally. Change-point detection is one of the most important challenges for overlapping community evolution analysis, and its aim is to identify the moment, type, and degree of change of a specific dynamic event when an overlapping community is evolving. In contrast to overlapping community detect... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TBDATA.2018.2880780 | IEEE Transactions on Big Data |
Keywords | Field | DocType |
Big Data,Pattern recognition,Computer graphics,Collaboration,Social network services,Proteins,Time series analysis | Signal processing,False positive rate,Data mining,Change detection,Unary operation,Computer science,Decision function,Community evolution,Binary number | Journal |
Volume | Issue | ISSN |
6 | 1 | 2332-7790 |
Citations | PageRank | References |
3 | 0.37 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiujun Cheng | 1 | 166 | 10.39 |
| Minjun Chen | 2 | 3 | 0.37 |
| MengChu Zhou | 3 | 8989 | 534.94 |
| Shangce Gao | 4 | 486 | 45.41 |
| Chun-Mei Liu | 5 | 245 | 41.30 |
| Cong Liu | 6 | 128 | 14.67 |