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arXiv · 1802.00513

Note: Distance-Based Network Partitioning

Paulo J. P. de Souza·Cesar H. Comin·Luciano da F. Costa
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Abstract

A new method for identifying soft communities in networks is proposed. Reference nodes, either selected using a priori information about the network or according to relevant node measurements, are obtained. Distance vectors between each network node and the reference nodes are then used for defining a multidimensional coordinate system representing the community structure of the network at many different scales. For modular networks, the distribution of nodes in this space often results in a well-separated clustered structure, with each cluster corresponding to a community. The potential of the method is illustrated with respect to a spatial network model and the Zachary's karate club network.

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Paulo J. P. de Souza, Cesar H. Comin, Luciano da F. Costa. 2018-02-01. Note: Distance-Based Network Partitioning. https://arxiv.org/abs/1802.00513

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