A novel method of generating tunable underlying network topologies for   social simulation
  We propose a method of generating different scale-free networks, which has several input parameters in order to adjust the structure, so that they can serve as a basis for computer simulation of real-world phenomena. The topological structure of these networks was studied to determine what kind of networks can be produced and how can we give the appropriate values of parameters to get a desired structure. 
Imre Varga and Andr\'as N\'emeth and Gergely Kocsis
cs.SI physics.soc-ph