Early detection of persistent topics in social networks
Bibliographic Data
| ID | 16858905 |
|---|---|
| Authors | Shota Saito (0000-0002-4463-6073, The University of Tokyo, corresponding author), Ryota Tomioka (0000-0002-8092-6553, Toyota Technological Institute at Chicago), Kenji Yamanishi (0000-0001-7370-9991, Japan Science and Technology Agency) |
| Year | 2015 |
| Volume | 5 |
| Issue | 1 |
| Publication date | 2015-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Network Analysis and Mining (JOURNAL) |
| Journal identifiers | ISSN: 1869-5450 • E-ISSN: 1869-5469 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s13278-015-0257-1 |
| OpenAlex | W2245740819 |
| Language | EN |
| References cited | 32 |
Anomaly detection · Data mining · Graph · Principal component analysis · Subspace topology · Support vector machine · Complex Network Analysis Techniques · Computer Science · Opinion Dynamics and Social Influence · Spam and Phishing Detection · Artificial Intelligence · Theoretical Computer Science
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| Highly cited | No |
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