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arXiv · 1303.5857

Model of complex networks based on citation dynamics

Lovro Šubelj·Marko Bajec
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Abstract

Complex networks of real-world systems are believed to be controlled by common phenomena, producing structures far from regular or random. These include scale-free degree distributions, small-world structure and assortative mixing by degree, which are also the properties captured by different random graph models proposed in the literature. However, many (non-social) real-world networks are in fact disassortative by degree. Thus, we here propose a simple evolving model that generates networks with most common properties of real-world networks including degree disassortativity. Furthermore, the model has a natural interpretation for citation networks with different practical applications.

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Lovro Šubelj, Marko Bajec. 2013-03-23. Model of complex networks based on citation dynamics. https://arxiv.org/abs/1303.5857

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