Estimating the dynamics of kernel-based evolving networks
Center for Complex Systems Studies, Kalamazoo College, MI, I
DePaul University - College of Law, Chicago, IL, USA
Department of Biophysics, KFKI Research Institute for Particle and Nuclear Physics of the Hungarian Academy of Sciences, Budapest, Hungary
Department of Physics and Center for Complex Systems Studies, Kalamazoo College, Kalamazoo, MI , USA
Center for Complex Systems Studies, Kalamazoo College, Kalamazoo, MI, USA
Last modified: June 5, 2006
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.