| Autor: |
Diboune, Abdelhani, Slimani, Hachem, Nacer, Hassina, Beghdad Bey, Kadda |
| Zdroj: |
Social Network Analysis & Mining; 4/18/2024, Vol. 14 Issue 1, p1-47, 47p |
| Abstrakt: |
This paper extensively reviews the literature of community detection in complex networks and proposes a general classification describing the main models used for this purpose. Besides, a statistical study of the distribution of the recent relevant literature has been realized to picture the tendency of the models used by the main works published in the context of community detection. This mainly helped the understanding of the suitable community model to be used in each real-world network application. Furthermore, we establish a critical study of the state-of-the-art approaches according to the proposed classification. Moreover, we investigate the relevant applications of communities in networks and we establish a statistical study to illustrate the distribution of research works in the field of community detection. Finally, we discuss several open issues and future research directions of approaches and applications that would be worth investigating in the area of community detection. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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