Name
Abstract | ||
|---|---|---|
Most of the community detection methods require the global information of the original network to be available, however, it is often expensive (even no way) to obtain the global information of the network in many real-world networks. So, the local community detection, only based on the local information, becomes especially important. The local community is the community in the network to which a g... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TFUZZ.2018.2812148 | IEEE Transactions on Fuzzy Systems |
Keywords | Field | DocType |
Image edge detection,Heuristic algorithms,Detection algorithms,Nickel,Complex networks,Q measurement | Local community,Global information,Theoretical computer science,Artificial intelligence,Complex network,Membership function,Mathematics,Machine learning,The Intersect | Journal |
Volume | Issue | ISSN |
26 | 5 | 1063-6706 |
Citations | PageRank | References |
1 | 0.36 | 11 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenjian Luo | 1 | 356 | 40.95 |
| Daofu Zhang | 2 | 1 | 0.36 |
| hao jiang | 3 | 59 | 17.96 |
| Li Ni | 4 | 8 | 4.18 |
| Yamin Hu | 5 | 5 | 1.45 |