An Algorithm for Detecting Communities in Social Networks

Verfasser / Beitragende:
[M. Kolomeychenko, A. Chepovskiy, A. Chepovskiy]
Ort, Verlag, Jahr:
2015
Enthalten in:
Journal of Mathematical Sciences, 211/3(2015-12-01), 310-318
Format:
Artikel (online)
ID: 605523339
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024 7 0 |a 10.1007/s10958-015-2607-y  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s10958-015-2607-y 
245 0 3 |a An Algorithm for Detecting Communities in Social Networks  |h [Elektronische Daten]  |c [M. Kolomeychenko, A. Chepovskiy, A. Chepovskiy] 
520 3 |a In this paper, we propose an algorithm to find subgraphs with given properties in large social networks. A computational experiment that confirms the effectiveness of the proposed algorithm is presented. 
540 |a Springer Science+Business Media New York, 2015 
700 1 |a Kolomeychenko  |D M.  |u National Research University "Higher School of Economics”, Moscow, Russia  |4 aut 
700 1 |a Chepovskiy  |D A.  |u National Research University "Higher School of Economics”, Moscow, Russia  |4 aut 
773 0 |t Journal of Mathematical Sciences  |d Springer US; http://www.springer-ny.com  |g 211/3(2015-12-01), 310-318  |x 1072-3374  |q 211:3<310  |1 2015  |2 211  |o 10958 
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900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s10958-015-2607-y  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Kolomeychenko  |D M.  |u National Research University "Higher School of Economics”, Moscow, Russia  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Chepovskiy  |D A.  |u National Research University "Higher School of Economics”, Moscow, Russia  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Journal of Mathematical Sciences  |d Springer US; http://www.springer-ny.com  |g 211/3(2015-12-01), 310-318  |x 1072-3374  |q 211:3<310  |1 2015  |2 211  |o 10958