M. Porter, J. Onnela, и P. Mucha. (2009)cite arxiv:0902.3788
Comment: 26 pages + 1 cover page, 7 figures (some with multiple parts;
manuscript with higher-quality figures available at
http://people.maths.ox.ac.uk/~porterm/papers.html ; this article is a survey
article on community detection in networks (comments welcome!).
Аннотация
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.
cite arxiv:0902.3788
Comment: 26 pages + 1 cover page, 7 figures (some with multiple parts;
manuscript with higher-quality figures available at
http://people.maths.ox.ac.uk/~porterm/papers.html ; this article is a survey
article on community detection in networks (comments welcome!)
%0 Generic
%1 Porter2009
%A Porter, Mason A.
%A Onnela, Jukka-Pekka
%A Mucha, Peter J.
%D 2009
%K imported
%T Communities in Networks
%U http://arxiv.org/abs/0902.3788
%X 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.
@misc{Porter2009,
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.
},
added-at = {2009-08-18T19:06:04.000+0200},
author = {Porter, Mason A. and Onnela, Jukka-Pekka and Mucha, Peter J.},
biburl = {https://www.bibsonomy.org/bibtex/20cf76c0d4c849cf1ac9223fec6419369/nic},
description = {Communities in Networks},
interhash = {cf84ca7d2c87bd1ec7d3c9b67ea1d7fe},
intrahash = {0cf76c0d4c849cf1ac9223fec6419369},
keywords = {imported},
note = {cite arxiv:0902.3788
Comment: 26 pages + 1 cover page, 7 figures (some with multiple parts;
manuscript with higher-quality figures available at
http://people.maths.ox.ac.uk/~porterm/papers.html ; this article is a survey
article on community detection in networks (comments welcome!)},
timestamp = {2009-08-18T19:06:04.000+0200},
title = {Communities in Networks},
url = {http://arxiv.org/abs/0902.3788},
year = 2009
}