An Algorithm for Detecting Communities in Social Networks
Gespeichert in:
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)
Online Zugang:
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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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| 908 | |D 1 |a research-article |2 jats | ||
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| 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 | ||