BibTex format

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 = {},
volume = {431},
year = {2015}

RIS format (EndNote, RefMan)

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 -
UR -
VL - 431
ER -