%0 Journal Article
	%A Zhanli Zhang and  Wei Chen and  Xin Jiang and  Lili Ma and  Shaoting Tang and  Zhiming Zheng
	%D 2010
	%J International Journal of Mathematical and Computational Sciences
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 48, 2010
	%T Percolation Transition with Hidden Variables in Complex Networks
	%U https://publications.waset.org/pdf/1416
	%V 48
	%X A new class of percolation model in complex networks,
in which nodes are characterized by hidden variables reflecting the
properties of nodes and the occupied probability of each link is
determined by the hidden variables of the end nodes, is studied
in this paper. By the mean field theory, the analytical expressions
for the phase of percolation transition is deduced. It is determined
by the distribution of the hidden variables for the nodes and the
occupied probability between pairs of them. Moreover, the analytical
expressions obtained are checked by means of numerical simulations
on a particular model. Besides, the general model can be applied
to describe and control practical diffusion models, such as disease
diffusion model, scientists cooperation networks, and so on.
	%P 1495 - 1498