@article{Loe:2015:10.1016/j.physa.2015.02.089,
author = {Loe, CW and Jensen, HJ},
doi = {10.1016/j.physa.2015.02.089},
journal = {Physica A - Statistical Mechanics and Its Applications},
pages = {29--45},
title = {Comparison of communities detection algorithms for multiplex},
url = {http://dx.doi.org/10.1016/j.physa.2015.02.089},
volume = {431},
year = {2015}
}

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TY  - JOUR
AB  - Multiplex is a set of graphs on the same vertex set, i.e. {G(V,E1),…,G(V,Em)}{G(V,E1),…,G(V,Em)}. It is a type of generalized graph to model the multiple relationships in a system with parallel edges between vertices. An important application in Network Science is to capture community structures in multiplex as a way to modularize the system. This paper is a literature review and comparative analysis on the existing communities detection algorithms for multiplex. The conclusion is that many of the algorithms deviate in the concept of multi-relational communities and the wrong choice of algorithm can deviate one from his intended concept.
AU  - Loe,CW
AU  - Jensen,HJ
DO  - 10.1016/j.physa.2015.02.089
EP  - 45
PY  - 2015///
SN  - 0378-4371
SP  - 29
TI  - Comparison of communities detection algorithms for multiplex
T2  - Physica A - Statistical Mechanics and Its Applications
UR  - http://dx.doi.org/10.1016/j.physa.2015.02.089
UR  - http://hdl.handle.net/10044/1/25880
VL  - 431
ER  - 

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