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Extracting Hierarchies With Overlapping Structure From Network Data



Brian D. Cloteaux


Relationships between entities in many complex systems, such as the Internet and social networks, have a natural hierarchical organization. Understanding these inherent hierarchies is essential for creating models of these systems. Thus, there is a recent body of research concerning the extraction of hierarchies from networks. We propose a new method for modeling hierarchies through extracting the affiliations of the network. From these affiliations, we construct a lattice of the relationships between nodes. A principal advantage of our approach is that any overlapping community structures of the nodes within the network have a natural representation within the lattice. We then show an example of our method using a real data set.
Proceedings Title
Winter Simulation Conference 2011
Conference Dates
December 11-14, 2011
Conference Location
Phoenix, AZ


complex networks, hierarchy detection


Cloteaux, B. (2011), Extracting Hierarchies With Overlapping Structure From Network Data, Winter Simulation Conference 2011, Phoenix, AZ, [online], (Accessed May 30, 2024)


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Created December 11, 2011, Updated February 19, 2017