A self-organized approach for detecting communities in networks
Bibliographic Data
| ID | 4697474 |
|---|---|
| Authors | Ben Collingsworth (Florida Institute of Technology), Ronaldo Menezes (0000-0002-6479-6429, Florida Institute of Technology, corresponding author) |
| Year | 2014 |
| Volume | 4 |
| Issue | 1 |
| Pages | 169 |
| Publication date | 2014-12-01 |
| 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/s13278-014-0169-5 |
| OpenAlex | W2006686569 |
| Language | EN |
| Citations received | 2 |
| References cited | 28 |
Community structure · Complex network · Computer network · Data mining · Data science · Dynamic network analysis · Machine learning · Social media · World Wide Web · Complex Network Analysis Techniques · Computer Science · Data Visualization and Analytics · Engineering · Mathematics · Opinion Dynamics and Social Influence · Artificial Intelligence · Theoretical Computer Science
Benchmark graphs for testing community detection algorithms
Near linear time algorithm to detect community structures in large-scale networks
Resolution limit in community detection
Normalized cuts and image segmentation
Uncovering the overlapping community structure of complex networks in nature and society
Community detection in graphs
Finding and evaluating community structure in networks
Toward the next generation of recommender systems
Why we twitter
Finding community structure in very large networks
Gephi
Community structure in social and biological networks
Fast unfolding of communities in large networks
A Mathematical Theory of Communication
Modularity and community structure in networks
Social network analysis
Overlapping community detection using a community optimized graph swarm
Market basket analysis with networks
An Information Flow Model for Conflict and Fission in Small Groups
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,29 |
| Citation span | 2019 - 2023 (5) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |