Biology helps to construct weighted scale free networks Export

@misc{citeulike:585, abstract = {In this work we study a simple evolutionary model of bipartite networks which its evolution is based on the duplication of nodes. Using analytical results along with numerical simulation of the model, we show that the above evolutionary model results in weighted scale free networks. Indeed we find that in the one mode picture we have weighted networks with scale free distributions for interesting quantities like the weights, the degrees and the weighted degrees of the nodes and the weights of the edges.}, archivePrefix = {arXiv}, author = {Ramezanpour, A.}, citeulike-article-id = {585}, citeulike-linkout-0 = {http://arxiv.org/abs/cond-mat/0406354}, citeulike-linkout-1 = {http://arxiv.org/pdf/cond-mat/0406354}, day = {16}, eprint = {cond-mat/0406354}, keywords = {biology, networks, scalefree-networks}, month = {June}, posted-at = {2004-11-15 19:38:09}, title = {Biology helps to construct weighted scale free networks}, url = {http://arxiv.org/abs/cond-mat/0406354}, year = {2004} }

TY - ELEC ID - citeulike:585 L3 - citeulike-article-id:585 N2 - In this work we study a simple evolutionary model of bipartite networks which its evolution is based on the duplication of nodes. Using analytical results along with numerical simulation of the model, we show that the above evolutionary model results in weighted scale free networks. Indeed we find that in the one mode picture we have weighted networks with scale free distributions for interesting quantities like the weights, the degrees and the weighted degrees of the nodes and the weights of the edges. TI - Biology helps to construct weighted scale free networks KW - biology KW - networks KW - scalefree-networks AU - Ramezanpour, A PY - 2004/06/16/ UR - http://arxiv.org/abs/cond-mat/0406354 ER -