CNEM: Cluster Based Network Evolution Model
| Autor: | Sarwat Nizamani, Nasrullah Memon |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: | |
| Zdroj: | Mehran University Research Journal of Engineering and Technology, Vol 34, Iss 1, Pp 61-69 (2015) |
| Druh dokumentu: | article |
| ISSN: | 0254-7821 2413-7219 |
| Popis: | This paper presents a network evolution model, which is based on the clustering approach. The proposed approach depicts the network evolution, which demonstrates the network formation from individual nodes to fully evolved network. An agglomerative hierarchical clustering method is applied for the evolution of network. In the paper, we present three case studies which show the evolution of the networks from the scratch. These case studies include: terrorist network of 9/11 incidents, terrorist network of WMD (Weapons Mass Destruction) plot against France and a network of tweets discussing a topic. The network of 9/11 is also used for evaluation, using other social network analysis methods which show that the clusters created using the proposed model of network evolution are of good quality, thus the proposed method can be used by law enforcement agencies in order to further investigate the criminal networks |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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