Community detection in dynamic networks via adaptive label propagation.
An adaptive label propagation algorithm (ALPA) is proposed to detect and monitor communities in dynamic networks. Unlike the traditional methods by re-computing the whole community decomposition after each modification of the network, ALPA takes into account the information of historical communities...
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doaj-4264f99562ea4e6497a0b6e78dc881642020-11-25T02:45:02ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-011211e018865510.1371/journal.pone.0188655Community detection in dynamic networks via adaptive label propagation.Jihui HanWei LiLongfeng ZhaoZhu SuYijiang ZouWeibing DengAn adaptive label propagation algorithm (ALPA) is proposed to detect and monitor communities in dynamic networks. Unlike the traditional methods by re-computing the whole community decomposition after each modification of the network, ALPA takes into account the information of historical communities and updates its solution according to the network modifications via a local label propagation process, which generally affects only a small portion of the network. This makes it respond to network changes at low computational cost. The effectiveness of ALPA has been tested on both synthetic and real-world networks, which shows that it can successfully identify and track dynamic communities. Moreover, ALPA could detect communities with high quality and accuracy compared to other methods. Therefore, being low-complexity and parameter-free, ALPA is a scalable and promising solution for some real-world applications of community detection in dynamic networks.http://europepmc.org/articles/PMC5706735?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jihui Han Wei Li Longfeng Zhao Zhu Su Yijiang Zou Weibing Deng |
spellingShingle |
Jihui Han Wei Li Longfeng Zhao Zhu Su Yijiang Zou Weibing Deng Community detection in dynamic networks via adaptive label propagation. PLoS ONE |
author_facet |
Jihui Han Wei Li Longfeng Zhao Zhu Su Yijiang Zou Weibing Deng |
author_sort |
Jihui Han |
title |
Community detection in dynamic networks via adaptive label propagation. |
title_short |
Community detection in dynamic networks via adaptive label propagation. |
title_full |
Community detection in dynamic networks via adaptive label propagation. |
title_fullStr |
Community detection in dynamic networks via adaptive label propagation. |
title_full_unstemmed |
Community detection in dynamic networks via adaptive label propagation. |
title_sort |
community detection in dynamic networks via adaptive label propagation. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2017-01-01 |
description |
An adaptive label propagation algorithm (ALPA) is proposed to detect and monitor communities in dynamic networks. Unlike the traditional methods by re-computing the whole community decomposition after each modification of the network, ALPA takes into account the information of historical communities and updates its solution according to the network modifications via a local label propagation process, which generally affects only a small portion of the network. This makes it respond to network changes at low computational cost. The effectiveness of ALPA has been tested on both synthetic and real-world networks, which shows that it can successfully identify and track dynamic communities. Moreover, ALPA could detect communities with high quality and accuracy compared to other methods. Therefore, being low-complexity and parameter-free, ALPA is a scalable and promising solution for some real-world applications of community detection in dynamic networks. |
url |
http://europepmc.org/articles/PMC5706735?pdf=render |
work_keys_str_mv |
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_version_ |
1724764468072677376 |