Date of Original Version
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-30541-2_3
Abstract or Description
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.
Lecture Notes in Computer Science, 7323, 29-40.