Entropy as a measure of centrality in networks characterized by path-transfer flow
Bibliographic Data
| ID | 18930785 |
|---|---|
| Authors | F Tutzauer (0000-0002-1690-5491, University at Buffalo, State University of New York, corresponding author) |
| Year | 2007 |
| Volume | 29 |
| Issue | 2 |
| Pages | 249-265 |
| Publication date | 2007-05-01 |
| Peer Reviewed | Yes |
| 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.2006.10.001 |
| OpenAlex | W1981046602 |
| Language | EN |
| Citations received | 7 |
| References cited | 12 |
Betweenness centrality · Centrality · Combinatorics · Complex network · Computer network · Data mining · Extant taxon · Geodesic · Katz centrality · Network science · Physics · Principle of maximum entropy · Transfer entropy · Complex Network Analysis Techniques · Computer Science · Crime Patterns and Interventions · Crime, Illicit Activities, and Governance · Mathematics · Artificial Intelligence · Theoretical Computer Science
Social Networks and Health
Steering opinion dynamics via containment control
On efficient use of entropy centrality for social network analysis and community detection
Centrality in directed social networks. A game theoretic approach
Entropy-Based Centralization and its Sampling Distribution in Directed Communication Networks
Compressing strongly connected subgroups in social networks
Network entropy as a key to the past
| Unique citing works | 7 |
|---|---|
| Citations per year | 0.41 |
| Citation span | 2009 - 2025 (17) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 7 |