Unfolding ego-centered community structures with "A Similarity Approach"

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Abstract

We propose a framework to unfold the ego-centered community structure of a given node in a network. The framework is not based on the optimization of a quality function, but on the study of the irregularity of the decrease of a similarity measure. It is a practical use of the notion of multiego- centered community and we validate the pertinence of the approach on a real-world network of wikipedia pages. © Springer-Verlag Berlin Heidelberg 2013.

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Danisch, M., Guillaume, J. L., & Le Grand, B. (2013). Unfolding ego-centered community structures with “A Similarity Approach.” Studies in Computational Intelligence, 476, 145–153. https://doi.org/10.1007/978-3-642-36844-8_14

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