Augmenting $k$-core generation with preferential attachment
Faculty of Informatics, Universität Karlsruhe (TH), 78131 Karlsruhe, Germany, Germany, Germany, Germany, Germany
Our novel model brings together the well-know concepts of $k$-cores, originally introduced in social network analysis, and of preferential attachment. Recent studies exposed the significant $k$-core structure of several real world systems, e.g., the AS network of the Internet. We present a simple and efficient method for generating networks which at the same time strictly adhere to the characteristics of a given $k$-core structure, called core fingerprint, and feature a power-law degree distribution. We showcase our algorithm in a com- parative evaluation with two well-known AS network generators.
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2018 Impact Factor: 0.871
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