Higher-order distributions and nongrowing complex networks without multiple connections.
We study stochastic processes that generate nongrowing complex networks without self-loops and multiple edges (simple graphs). The work concentrates on understanding and formulation of constraints which keep the rewiring stochastic processes within the class of simple graphs. To formulate these constraints a different concept of wedge distribution (paths of length 2) is introduced and its relation to degree-degree correlation is studied. The analysis shows that the constraints, together with edge selection rules, do not even allow the formulation of a closed master equation in the general case. We also introduce a particular stochastic process which does not contain edge selection rules, but which, we believe, can provide some insight into the complexities of simple graphs.
Hruz
Tomas
T
Institute of Theoretical Computer Science, ETH Zürich, Universitätstrasse 6, 8092 Zürich, Switzerland.
Natora
Michal
M
Agrawal
Madhuresh
M