InterJournal Complex Systems, 1694
Status: Accepted
Manuscript Number: [1694]
Submission Date: 2006
Estimating the dynamics of kernel-based evolving networks
Author(s): Gabor Csardi ,Katherine Strandburg ,Laszlo Zalanyi ,Jan Tobochnik

Subject(s): CX.18

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Abstract:

Many evolving networks can be modeled by defining az attachment kernel, a function depending on some - structural or intrinsic - properties of network nodes, with the assumption that the kernel function stochastically governs the evolution of the network. We propose a method and software for "measuring" the kernel function from network data. This method can also be used to check the validity of various network models for a given network.

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