GDL

Research on Community Detection Algorithm Based on the UIR-Q

Journal from gdlhub / 2016-11-07 01:55:51
Oleh : Zilong Jiang, Wei Dai, Liangchen Chen, Xiufeng Cao, Yanling Shao, Telkomnika
Dibuat : 2016-06-01, dengan 1 file

Keyword : social networks; community detection; user influence; modularity
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/2685

Aiming at the current problems of community detection algorithm in which user’s properties are not used; the community structure is not stable and the efficiency of the algorithm is low, this paper proposes a community detection algorithm based on the user influence. In terms of the concept of user influence in the subject communication and the PageRank algorithm, this paper uses the properties of nodes of users in social networks to form the user influence factor. Then, the user with the biggest influence is set as the initial node of new community and the local modularity method is introduced into detecting the community structure. Experiments show that the improved algorithm can efficiently detect the community structure with large scale users and the results are stable. Therefore, this algorithm will have a wide applied prospect

Deskripsi Alternatif :

Aiming at the current problems of community detection algorithm in which user’s properties are not used; the community structure is not stable and the efficiency of the algorithm is low, this paper proposes a community detection algorithm based on the user influence. In terms of the concept of user influence in the subject communication and the PageRank algorithm, this paper uses the properties of nodes of users in social networks to form the user influence factor. Then, the user with the biggest influence is set as the initial node of new community and the local modularity method is introduced into detecting the community structure. Experiments show that the improved algorithm can efficiently detect the community structure with large scale users and the results are stable. Therefore, this algorithm will have a wide applied prospect

Beri Komentar ?#(0) | Bookmark

Properti	Nilai Properti
ID Publisher	gdlhub
Organisasi	Telkomnika
Nama Kontak	Herti Yani, S.Kom
Alamat	Jln. Jenderal Sudirman
Kota	Jambi
Daerah	Jambi
Negara	Indonesia
Telepon	0741-35095
Fax	0741-35093
E-mail Administrator	elibrarystikom@gmail.com
E-mail CKO	elibrarystikom@gmail.com