Tracking local communities in streaming graphs with a dynamic algorithm
Bibliographic Data
| ID | 16858700 |
|---|---|
| Authors | Anita Zakrzewska (Georgia Institute of Technology, corresponding author), David A Bader (0000-0002-7380-5876, Georgia Institute of Technology) |
| Year | 2016 |
| Volume | 6 |
| Issue | 1 |
| Publication date | 2016-12-01 |
| 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/s13278-016-0374-5 |
| OpenAlex | W2508527233 |
| Language | EN |
| References cited | 31 |
Algorithm · Computation · Graph · Greedy algorithm · Caching and Content Delivery · Complex Network Analysis Techniques · Computer Science · Peer-to-Peer Network Technologies · Theoretical Computer Science
Dynamic Community Detection
Quantifying social group evolution
Community detection in graphs
Finding and evaluating community structure in networks
A smart local moving algorithm for large-scale modularity-based community detection
Community Structure in Time-Dependent, Multiscale, and Multiplex Networks
Fast unfolding of communities in large networks
| Highly cited | No |
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