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Prethodno priopćenje
https://doi.org/10.32985/ijeces.9.2.5

Clique Comparison and Homophily Detection in Telecom Social Networks

Marin Mandić ; University of Mostar, Faculty of Mechanical Engineering, Computing and Electrical Engineering
Davor Škobić ; University of Mostar, Faculty of Mechanical Engineering, Computing and Electrical Engineering
Goran Martinović ; J. J. Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology

Puni tekst: engleski, pdf (276 KB) str. 81-87 preuzimanja: 160* citiraj
APA 6th Edition
Mandić, M., Škobić, D. i Martinović, G. (2018). Clique Comparison and Homophily Detection in Telecom Social Networks. International journal of electrical and computer engineering systems, 9 (2), 81-87. https://doi.org/10.32985/ijeces.9.2.5
MLA 8th Edition
Mandić, Marin, et al. "Clique Comparison and Homophily Detection in Telecom Social Networks." International journal of electrical and computer engineering systems, vol. 9, br. 2, 2018, str. 81-87. https://doi.org/10.32985/ijeces.9.2.5. Citirano 20.10.2020.
Chicago 17th Edition
Mandić, Marin, Davor Škobić i Goran Martinović. "Clique Comparison and Homophily Detection in Telecom Social Networks." International journal of electrical and computer engineering systems 9, br. 2 (2018): 81-87. https://doi.org/10.32985/ijeces.9.2.5
Harvard
Mandić, M., Škobić, D., i Martinović, G. (2018). 'Clique Comparison and Homophily Detection in Telecom Social Networks', International journal of electrical and computer engineering systems, 9(2), str. 81-87. https://doi.org/10.32985/ijeces.9.2.5
Vancouver
Mandić M, Škobić D, Martinović G. Clique Comparison and Homophily Detection in Telecom Social Networks. International journal of electrical and computer engineering systems [Internet]. 2018 [pristupljeno 20.10.2020.];9(2):81-87. https://doi.org/10.32985/ijeces.9.2.5
IEEE
M. Mandić, D. Škobić i G. Martinović, "Clique Comparison and Homophily Detection in Telecom Social Networks", International journal of electrical and computer engineering systems, vol.9, br. 2, str. 81-87, 2018. [Online]. https://doi.org/10.32985/ijeces.9.2.5

Sažetak
Social Network Analysis (SNA) is based on graph theory and is used for identification of the structure, behavioral patterns and social connectivity of entities. In this paper, SNA is used in the telecom industry in terms of a call detail record referring to phone call data separated into two groups, i.e., domicile network and virtual operator network data. Emphasis was placed on community detection. Comparison was made among communities detected in domicile and virtual operator networks. Results show that in contrast to domicile network, the number of cliques in the virtual operator network is larger. Also, homophily was detected between domicile network and virtual operator network users.

Ključne riječi
cliques; community detection; homophily; prepaid users; Social network analysis (SNA)

Hrčak ID: 220769

URI
https://hrcak.srce.hr/220769

Posjeta: 263 *