We investigate a stochastic model for complex networks, based on a spatial embedding of the nodes, called the Spatial Preferred Attachment (SPA) model. In the SPA model, nodes have spheres of influence of varying size, and new nodes may only link to a node if they fall within its influence region. The spatial embedding of the nodes models the background knowledge or identity of the node, which influences its link environment. In this paper, we focus on the (directed) diameter, small separators, and the (weak) giant component of the model. © 2012 Springer-Verlag.
CITATION STYLE
Cooper, C., Frieze, A., & Prałat, P. (2012). Some typical properties of the spatial preferred attachment model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7323 LNCS, pp. 29–40). https://doi.org/10.1007/978-3-642-30541-2_3
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