Purpose-driven communities in multiplex networks: thresholding user-engaged layer aggregation
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Authors
Miller, Ryan E.
Subjects
community detection
network science
layer aggregation
dark networks
conductance, cluster adequacy
modularity
Louvain method
shortest path interdiction
network science
layer aggregation
dark networks
conductance, cluster adequacy
modularity
Louvain method
shortest path interdiction
Advisors
Gera, Ralucca
Date of Issue
2016-06
Date
Jun-16
Publisher
Monterey, California: Naval Postgraduate School
Language
Abstract
Discovering true and meaningful communities in dark networks is a non-trivial yet useful task. Because terrorists work hard to hide their relationships/network, analysts have an incomplete picture of their strategy; even worse, the degree of incompleteness is unknown. To better protect our nation, analysts would benefit from a tool t h at helps them identify meaningful terrorist communities.
Type
Thesis
Description
Series/Report No
Department
Applied Mathematics
Organization
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.