Applying Flow Algorithms to Deconstruct Social Networks

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Authors
Wagner, Sophie J.F.
Issue Date
2014-05-14
Type
Thesis
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en_US
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Abstract
Deconstructing social networks is a matter of particular importance when considering terror or criminal networks. Apart from discussions of general strategies, identifying which nodes or edges should be removed from a network to pull it apart fastest is a subject on which little research has been done. This thesis proposes a method to deconstruct networks based on network flow algorithms that can identify edges which bottleneck a network. The models test the efficiency of this method against two standard strategies across several ideal network types.
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Creighton University
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Copyright is retained by the Author. A non-exclusive distribution right is granted to Creighton University and to ProQuest following the publishing model selected above.
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