International Journal of Information and Communication Technology Research
مجله بین المللی ارتباطات و فناوری اطلاعات
International Journal of Information and Communication Technology Research
Engineering & Technology
http://ijict.itrc.ac.ir
1
admin
2251-6107
2783-4425
doi
1652
25391
en
jalali
1395
12
1
gregorian
2017
3
1
9
1
online
1
fulltext
fa
Mining Dynamic Communities based on a Novel Link-Clustering Algorithm
فناوری اطلاعات
Information Technology
پژوهشي
Research
Discovering communities in time-varying social networks is one of the highly challenging area of research and researchers are welcome to propose new models for this domain. The issue is more problematic when overlapping structure of communities is going to be considered. In this research, we present a new online and incremental community detection algorithm called link-clustering which uses link-based clustering paradigm intertwined with a novel representative-based algorithm to handle these issues. The algorithm works in both weighted and binary networks and intrinsically allows for overlapping communities. Comparison with the state of art evolutionary algorithms and link-based clustering shows the accuracy of this method in detecting communities over times and motivates the extended research in link-based clustering paradigm for dynamic overlapping community detection purpose.
social network, link clustering, dynamic network, evolutionary clustering, representative-based clustering
45
51
http://ijict.itrc.ac.ir/browse.php?a_code=A-10-27-26&slc_lang=fa&sid=1
Hamideh Sadat
Cheraghchi
100319475328460083
100319475328460083
Yes
Ali
Zakerolhosseini
100319475328460084
100319475328460084
No