2013/03/23 by Lovro Šubelj, Marko Bajec · 1 citation
Computer Science · Physics and Astronomy · #cs.SI #physics.soc-ph
published as Proceedings of the WWW Workshop on Large Scale Network Analysis 2013 (LSNA '13), pp. 527-530
arxiv created 2013/03/23 · arxiv updated 2013/05/24
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.