Bees colonies for terrorist communities evolution detection
Bibliographic Data
| ID | 4691885 |
|---|---|
| Authors | Y Chaabani (0000-0002-2627-0047, Al Baha University, corresponding author), Jalel Akaichi (0000-0001-8849-8664, Al Baha University) |
| Year | 2022 |
| Volume | 12 |
| Issue | 1 |
| Publication date | 2022-12-01 |
| 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/s13278-021-00835-y |
| OpenAlex | W4200362790 |
| Language | FR |
| Citations received | 1 |
| References cited | 21 |
Archaeology · Computer security · Criminology · Geography · Sociology · Terrorism · Computer Science · Evolutionary Game Theory and Cooperation · Insect and Arachnid Ecology and Behavior · Plant and animal studies
Emerging Trends in Social Network Analysis of Terrorism and Counterterrorism
The link‐prediction problem for social networks
Benchmark graphs for testing community detection algorithms
The Elements of Statistical Learning
Opinion Mining and Sentiment Analysis
Detecting significant changes in dark networks
An exploratory, dynamic application of Social Network Analysis for modelling the development of Islamist terror‐cells in the West
The centrality of groups and classes
A Social Network Analysis of Jemaah Islamiyah
Meaningful communities detection in medias network
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,25 |
| Citation span | 2022 - 2022 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |