Divisive Betweenness Centrality Clustering on Graphs Weighted by Timestamps
Data visualization is important to obtain a better understanding of many networks. However, for larger networks it is hard to perceive the visualization of the network. In order to simplify such visualizations of networks, graph clustering algorithms may be used to identify subgraphs of close vertic...
Main Authors: | , |
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Format: | Others |
Language: | English |
Published: |
KTH, Skolan för datavetenskap och kommunikation (CSC)
2015
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Subjects: | |
Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-168662 |