@inproceedings{92d518de72f84c458fb5f49ac3dac04c,
title = "Effects of link weights uncertainties in network community detection: Application to two electric power systems",
abstract = "A community can be defined as a group of nodes of a network (or clusters) that are densely interconnected with each other but only sparsely connected with the rest of the network. Classical community detection algorithms consider un-weighted networks—a topological based perspective. Many real networks have specific properties associated to each links (known as link weights) such as their distance or reliability. In this paper the effects of weight uncertainties on community structure is analyzed. The similarity among the community structure with and without weight uncertainties is evaluated using several Similarity Indexes (SI). A Monte Carlo approach is used to evaluate the effects on SI uncertainty propagation. Examples from two real electric power systems illustrate the approach.",
author = "Rocco, {C. M.} and Ramirez-Marquez, {J. E.} and J. Moronta and {Gama Dessavre}, D.",
note = "Publisher Copyright: {\textcopyright} 2015 Taylor & Francis Group, London.; 25th European Safety and Reliability Conference, ESREL 2015 ; Conference date: 07-09-2015 Through 10-09-2015",
year = "2015",
doi = "10.1201/b19094-155",
language = "English",
isbn = "9781138028791",
series = "Safety and Reliability of Complex Engineered Systems - Proceedings of the 25th European Safety and Reliability Conference, ESREL 2015",
pages = "1177--1182",
editor = "Luca Podofillini and Bruno Sudret and Bo{\v z}idar Stojadinovi{\'c} and Enrico Zio and Wolfgang Kr{\"o}ger",
booktitle = "Safety and Reliability of Complex Engineered Systems - Proceedings of the 25th European Safety and Reliability Conference, ESREL 2015",
}