Community-affinity: measuring strength of memberships of nodes in network communities

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Title Community-affinity: measuring strength of memberships of nodes in network communities
Publication Type thesis
School or College College of Engineering
Department Computing
Author Yadav, Nitin
Date 2015
Description Detecting community structure in networks has been a widely studied area. While most of the methods produce an exclusive membership of the nodes, the nodes in real-world networks tend to partially belong to more than one community. In this thesis, we study some methods that have been used to quantify the strength of memberships of nodes in di erent communities (or community-a nity, as we call it) and also de ne three of our own methods. Our rst method is based on personalized PageRanks of the nodes, the second is based on the individual contribution of nodes to the modularity of the graph, and the last is based on the common neighborhood between two nodes. We rst discuss di erent notions of community-a nity, each of which is followed by formulations that capture that notion. We then discuss the concept of stability, which uses community-a nity scores of the nodes to compute how "stable" each node is in a given community structure and how we can use this information in estimating the quality of a given community structure. Towards the end, we introduce a community detection algorithm, which "peels" communities one by one from a graph. The results of our experiments show that our algorithm is very accurate even for a large number of nodes in a graph. Our algorithm is fast and it performs very well on real-world graphs compared to the state of the art algorithms.
Type Text
Publisher University of Utah
Subject community-affinity; community-detection; graph clustering; graphs; network science
Dissertation Name Master of Science in Computing
Language eng
Rights Management ©Nitin Yadav
Format application/pdf
Format Medium application/pdf
Format Extent 27,236 bytes
Identifier etd3/id/4069
ARK ark:/87278/s6bs21hf
Setname ir_etd
ID 197619
Reference URL https://collections.lib.utah.edu/ark:/87278/s6bs21hf
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