Extracting influential nodes in social networks based on community structure
Joint Authors
Huzam, Ivan Abd al-Karim
Miftin, Firas Sabir
Nasim, Zaynab
Source
Journal of College of Education for Pure Sciences
Issue
Vol. 10, Issue 2 (30 Jun. 2020), pp.179-189, 11 p.
Publisher
University of Thi-Qar College of Education for Pure Sciences
Publication Date
2020-06-30
Country of Publication
Iraq
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
Influence maximization (im) is the process focuses on finding active users who make that maximizes the spread of influence into the network.
in recent years, community detection has attracted intensive interest especially in the implementation of clustering algorithms in complex networks for community detection.
in this paper the social network was divided into communities using the proposed algorithm which is called(cdbnn) algorithm, cdbnn stands for community detection based on nodes neighbor.
the key nodes(candidate nodes) were extracted using the degree centrality in each community.
the propagates model(psi) was used to information propagates through the network.
finally, using closeness centrality to extract the influential nodes from the network.
experimental results on the real network are efficient for influence propagates, compared with three known proposals.
American Psychological Association (APA)
Nasim, Zaynab& Miftin, Firas Sabir& Huzam, Ivan Abd al-Karim. 2020. Extracting influential nodes in social networks based on community structure. Journal of College of Education for Pure Sciences،Vol. 10, no. 2, pp.179-189.
https://search.emarefa.net/detail/BIM-1388476
Modern Language Association (MLA)
Nasim, Zaynab…[et al.]. Extracting influential nodes in social networks based on community structure. Journal of College of Education for Pure Sciences Vol. 10, no. 2 (Jun. 2020), pp.179-189.
https://search.emarefa.net/detail/BIM-1388476
American Medical Association (AMA)
Nasim, Zaynab& Miftin, Firas Sabir& Huzam, Ivan Abd al-Karim. Extracting influential nodes in social networks based on community structure. Journal of College of Education for Pure Sciences. 2020. Vol. 10, no. 2, pp.179-189.
https://search.emarefa.net/detail/BIM-1388476
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 188-189
Record ID
BIM-1388476