Name
Title | ||
|---|---|---|
Analysis of User Network and Correlation for Community Discovery Based on Topic-Aware Similarity and Behavioral Influence. |
Abstract | ||
|---|---|---|
While social computing related research has focused mostly on how to provide users with more precise and direct information, or on recommending new search methods to find requested information rapidly, the authors believe that network users themselves could be viewed as an important social resource. This study concentrates on analyzing potential and dynamic user correlations, based on topic-aware ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/THMS.2017.2725341 | IEEE Transactions on Human-Machine Systems |
Keywords | Field | DocType |
Correlation,Analytical models,Twitter,Social network services,Feature extraction,Data mining,Decision making,Social factors | Data science,Social behavior,Social network,Computer science,Social network analysis,Feature extraction,Social influence,Correlation,Socialization,Social computing | Journal |
Volume | Issue | ISSN |
48 | 6 | 2168-2291 |
Citations | PageRank | References |
12 | 0.76 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaokang Zhou | 1 | 225 | 25.50 |
| Bo Wu | 2 | 21 | 4.63 |
| Jin, Q. | 3 | 233 | 33.40 |