Mining latent academic social relationships by network fusion of multi-type data
Bibliographic Data
| ID | 4658108 |
|---|---|
| Authors | Feiyu Long (Beijing University of Posts and Telecommunications), Nianwen Ning (0000-0001-9290-0361, Beijing University of Posts and Telecommunications), Yunlei Zhang (0000-0001-9219-6562, North China Institute of Science and Technology, corresponding author), Chenguang Song (0000-0001-9650-880X, Beijing University of Posts and Telecommunications), Pengpeng Zhou (0000-0002-5359-1540, Beijing University of Posts and Telecommunications), Bin Wu (0000-0002-7568-1993, Beijing University of Posts and Telecommunications, corresponding author) |
| Year | 2020 |
| Volume | 10 |
| Issue | 1 |
| Publication date | 2020-12-01 |
| Peer Reviewed | Yes |
| 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/s13278-020-00663-6 |
| OpenAlex | W3039796744 |
| Language | EN |
| Citations received | 2 |
| References cited | 28 |
Data mining · Data science · Machine learning · Social media · Social network analysis · World Wide Web · Advanced Graph Neural Networks · Complex Network Analysis Techniques · Computer Science · Recommender Systems and Techniques · Artificial Intelligence
Multilayer networks
ArnetMiner
DeepWalk
Greedy function approximation
Entity linking of tweets based on dominant entity candidates
Community detection in large-scale social networks
Spark's GraphX-based link prediction for social communication using triangle counting
Enabling cross-site interactions in social networks
Semantically interconnected social networks
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,67 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |