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 multi-ego-centered community and we validate the pertinence of the approach on a real-world network of wikipedia pages.
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Danisch, M., Guillaume, JL., Le Grand, B. (2013). Unfolding Ego-Centered Community Structures with “A Similarity Approach”. In: Ghoshal, G., Poncela-Casasnovas, J., Tolksdorf, R. (eds) Complex Networks IV. Studies in Computational Intelligence, vol 476. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36844-8_14
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DOI: https://doi.org/10.1007/978-3-642-36844-8_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36843-1
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