A novel method of generating tunable underlying network topologies for social simulation
Social and Information Networks
2014-01-30 v1 Physics and Society
Abstract
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.
Cite
@article{arxiv.1401.7425,
title = {A novel method of generating tunable underlying network topologies for social simulation},
author = {Imre Varga and András Németh and Gergely Kocsis},
journal= {arXiv preprint arXiv:1401.7425},
year = {2014}
}
Comments
Originally presented at the 2013 IEEE 4th International Conference on Cognitive Infocommunications (CogInfoCom)