Detecting node propensity changes in the dynamic degree corrected stochastic block model
Bibliographic Data
| ID | 18929920 |
|---|---|
| Authors | Lisha Yu (0000-0002-1388-7187), William H Woodall (0000-0002-9962-0001, Virginia Tech), Kwok-Leung Tsui (0000-0002-0558-2279, City University of Hong Kong) |
| Year | 2018 |
| Volume | 54 |
| Pages | 209-227 |
| Publication date | 2018-07-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Networks (JOURNAL) |
| Journal identifiers | ISSN: 0378-8733 • E-ISSN: 1879-2111 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.socnet.2018.03.004 |
| OpenAlex | W2790679905 |
| Language | EN |
| Citations received | 2 |
| References cited | 41 |
Computer network · Data mining · Dynamic network analysis · Machine learning · Multivariate statistics · Statistics · Stochastic block model · Complex Network Analysis Techniques · Computer Science · Data-Driven Disease Surveillance · Engineering · Mathematics · Opinion Dynamics and Social Influence · Artificial Intelligence
Estimation and Prediction for Stochastic Blockstructures
Isometric Logratio Transformations for Compositional Data Analysis
Finding and evaluating community structure in networks
Stochastic blockmodels and community structure in networks
Power-Law Distributions in Empirical Data
Modularity and community structure in networks
Stochastic blockmodels
Anomaly detection in online social networks
Stochastic actor-oriented models for network change
| Citations per year | 0.33 |
|---|---|
| Citation span | 2020 - 2026 (7) |
| Highly cited | No |