Abstract | ||
---|---|---|
We survey some of the concepts, methods, and applications of community
detection, which has become an increasingly important area of network science.
To help ease newcomers into the field, we provide a guide to available
methodology and open problems, and discuss why scientists from diverse
backgrounds are interested in these problems. As a running theme, we emphasize
the connections of community detection to problems in statistical physics and
computational optimization. |
Year | Venue | Keywords |
---|---|---|
2009 | Clinical Orthopaedics and Related Research | community structure,statistical physics,modularity,social networks,statistical mechanics,discrete mathematics |
Field | DocType | Volume |
Data science,Network science,Community structure,Social network,Computational optimization,Mathematics education,Mathematics,Modularity | Journal | abs/0902.3 |
ISSN | Citations | PageRank |
Notices of the American Mathematical Society, Vol. 56, No. 9:
1082-1097, 1164-1166, 2009 | 85 | 7.91 |
References | Authors | |
27 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mason A. Porter | 1 | 748 | 66.14 |
Jukka-pekka Onnela | 2 | 475 | 36.55 |
Peter J. Mucha | 3 | 909 | 64.78 |