GDL

Journal from gdlhub / 2017-08-15 10:14:20
Oleh : Ali Reihanian, Behrouz Minaei-Bidgoli, Hosein Alizadeh, King Saud University
Dibuat : 2016-07-15, dengan 1 file

Keyword : Content analysis Topical community Community detection Modularity Purity
Url : http://www.sciencedirect.com/science/article/pii/S1319157815001135
Sumber pengambilan dokumen : web

Nowadays, real world social networks contain a vast range of information including shared objects, comments, following information, etc. Finding meaningful communities in this kind of networks is an interesting research area and has attracted the attention of many researchers. The community structure of complex networks reveals both their organization and hidden relations among their constituents. Most of the researches in the field of community detection mainly focus on the topological structure of the network without performing any content analysis. In recent years, a number of researches have proposed approaches which consider both the contents that are interchanged in networks, and the topological structures of the networks in order to find more meaningful communities. In this research, the effect of topic analysis in finding more meaningful communities in social networking sites in which the users express their feelings toward different objects (like movies) by means of rating is demonstrated by performing extensive experiments.

Beri Komentar ?#(0) | Bookmark

Properti	Nilai Properti
ID Publisher	gdlhub
Organisasi	King Saud University
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