An Introduction to Community Detection in Multi-layered Social Network
P. Bródka, T. Filipowski, und P. Kazienko. (2012)cite arxiv:1209.6050Comment: M.D. Lytras et al. (Eds.): WSKS 2011, CCIS 278, pp. 185-190, 2012.
Zusammenfassung
Social communities extraction and their dynamics are one of the most
important problems in today's social network analysis. During last few years,
many researchers have proposed their own methods for group discovery in social
networks. However, almost none of them have noticed that modern social networks
are much more complex than few years ago. Due to vast amount of different data
about various user activities available in IT systems, it is possible to
distinguish the new class of social networks called multi-layered social
network. For that reason, the new approach to community detection in the
multi-layered social network, which utilizes multi-layered edge clustering
coefficient is proposed in the paper.
Beschreibung
[1209.6050] An Introduction to Community Detection in Multi-layered Social Network
%0 Generic
%1 brdka2012introduction
%A Bródka, Piotr
%A Filipowski, Tomasz
%A Kazienko, Przemysław
%D 2012
%K community detection layer multi multiplex network
%T An Introduction to Community Detection in Multi-layered Social Network
%U http://arxiv.org/abs/1209.6050
%X Social communities extraction and their dynamics are one of the most
important problems in today's social network analysis. During last few years,
many researchers have proposed their own methods for group discovery in social
networks. However, almost none of them have noticed that modern social networks
are much more complex than few years ago. Due to vast amount of different data
about various user activities available in IT systems, it is possible to
distinguish the new class of social networks called multi-layered social
network. For that reason, the new approach to community detection in the
multi-layered social network, which utilizes multi-layered edge clustering
coefficient is proposed in the paper.
@misc{brdka2012introduction,
abstract = {Social communities extraction and their dynamics are one of the most
important problems in today's social network analysis. During last few years,
many researchers have proposed their own methods for group discovery in social
networks. However, almost none of them have noticed that modern social networks
are much more complex than few years ago. Due to vast amount of different data
about various user activities available in IT systems, it is possible to
distinguish the new class of social networks called multi-layered social
network. For that reason, the new approach to community detection in the
multi-layered social network, which utilizes multi-layered edge clustering
coefficient is proposed in the paper.},
added-at = {2012-12-10T11:44:56.000+0100},
author = {Bródka, Piotr and Filipowski, Tomasz and Kazienko, Przemysław},
biburl = {https://www.bibsonomy.org/bibtex/24e73f3c1ca5224190adb1c5aea10a061/folke},
description = {[1209.6050] An Introduction to Community Detection in Multi-layered Social Network},
interhash = {bb022ed894c4ee3488c4de75c4fe0a9f},
intrahash = {4e73f3c1ca5224190adb1c5aea10a061},
keywords = {community detection layer multi multiplex network},
note = {cite arxiv:1209.6050Comment: M.D. Lytras et al. (Eds.): WSKS 2011, CCIS 278, pp. 185-190, 2012},
timestamp = {2012-12-10T11:44:56.000+0100},
title = {An Introduction to Community Detection in Multi-layered Social Network},
url = {http://arxiv.org/abs/1209.6050},
year = 2012
}