Modeling influence diffusion to uncover influence centrality and community structure in social networks
Dados Bibliográficos
| ID | 16858784 |
|---|---|
| Autores | Wenjun Wang (0000-0002-1987-1119, University of Iowa, autor correspondente), W Nick Street (0000-0002-1632-5905, University of Iowa) |
| Ano | 2015 |
| Volume | 5 |
| Fascículo | 1 |
| Data de publicação | 2015-12-01 |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Social Network Analysis and Mining (JOURNAL) |
| Identificadores do periódico | ISSN: 1869-5450 • E-ISSN: 1869-5469 |
| Editora | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s13278-015-0254-4 |
| OpenAlex | W426194329 |
| Idioma | EN |
| Citações recebidas | 1 |
| Referências citadas | 52 |
Betweenness centrality · Centrality · Closeness · Combinatorics · Community structure · Complex network · Data mining · Exploit · Graph · Katz centrality · Network analysis · Network science · Network theory · Network topology · Complex Network Analysis Techniques · Computer Science · Mathematics · Opinion Dynamics and Social Influence · Social Capital and Networks · Artificial Intelligence · Theoretical Computer Science
Social Network Analysis
Networks, Crowds, and Markets
Maps of random walks on complex networks reveal community structure
Community detection algorithms
Benchmark graphs for testing community detection algorithms
Near linear time algorithm to detect community structures in large-scale networks
The bottlenose dolphin community of Doubtful Sound features a large proportion of long-lasting associations
Resolution limit in community detection
The Centrality Index of a Graph
Maximizing the spread of influence through a social network
Uncovering the overlapping community structure of complex networks in nature and society
Community detection in graphs
Finding and evaluating community structure in networks
Analysis of weighted networks
Link communities reveal multiscale complexity in networks
Computing Communities in Large Networks Using Random Walks
Finding community structure in very large networks
Functional cartography of complex metabolic networks
Defining and identifying communities in networks
The Spread of Obesity in a Large Social Network over 32 Years
Community structure in social and biological networks
Fast unfolding of communities in large networks
Modularity and community structure in networks
A New Status Index Derived from Sociometric Analysis
Centrality in valued graphs
The political network in Mexico
Rethinking centrality
A measure of betweenness centrality based on random walks
A Set of Measures of Centrality Based on Betweenness
Factoring and weighting approaches to status scores and clique identification
An Information Flow Model for Conflict and Fission in Small Groups
| Citações por ano | 0,2 |
|---|---|
| Intervalo de citações | 2021 - 2021 (1) |
| Altamente citado | Não |