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Community Detection In Large Networks

Author
Andrews, June
Abstract
Graphs are used to represent various large and complex networks in scientific applications. In order to understand the structure of these graphs, it is useful to treat a set of nodes with similar characteristics as one community and analyze the community's behavior as a whole. Finding all such communities within the graph is the object of community detection. In our research, we compare dozens of existing community detection methods and develop a new class of algorithms for finding communities.
Date Issued
2012-08-20Subject
community detection; social networks
Committee Chair
Hopcroft, John E
Committee Member
Kleinberg, Jon M; Strogatz, Steven H
Degree Discipline
Applied Mathematics
Degree Name
Ph. D., Applied Mathematics
Degree Level
Doctor of Philosophy
Type
dissertation or thesis