A Realistic Model for Complex Networks Export

@article{guillaume03realistic, abstract = {It appeared recently that the classical random network model used to represent complex networks does not capture their main properties (clustering, degree distribution). Since then, various attempts have been made to provide network models having these properties. We propose here the first model which achieves the following challenges: it produces networks which have the three main wanted properties, it is based on some real-world observations, and it is sufficiently simple to make it possible to prove its main properties. We first give an overview of the field by presenting the main models introduced until now, then we discuss some remarks on some complex networks which lead us to the definition of our model. We then show that the model has the expected properties and that it can actually be seen as a general model for complex networks.}, archivePrefix = {arXiv}, author = {Guillaume, Jean-Loup and Latapy, Matthieu}, citeulike-article-id = {1211975}, citeulike-linkout-0 = {http://arxiv.org/abs/cond-mat/0307095}, citeulike-linkout-1 = {http://arxiv.org/pdf/cond-mat/0307095}, day = {4}, eprint = {cond-mat/0307095}, keywords = {clustering, degree, network, small-world}, month = {Jul}, posted-at = {2009-07-02 15:58:14}, priority = {0}, title = {A Realistic Model for Complex Networks}, url = {http://arxiv.org/abs/cond-mat/0307095}, year = {2003} }

TY - JOUR ID - guillaume03realistic L3 - citeulike-article-id:1211975 N2 - It appeared recently that the classical random network model used to represent complex networks does not capture their main properties (clustering, degree distribution). Since then, various attempts have been made to provide network models having these properties. We propose here the first model which achieves the following challenges: it produces networks which have the three main wanted properties, it is based on some real-world observations, and it is sufficiently simple to make it possible to prove its main properties. We first give an overview of the field by presenting the main models introduced until now, then we discuss some remarks on some complex networks which lead us to the definition of our model. We then show that the model has the expected properties and that it can actually be seen as a general model for complex networks. TI - A Realistic Model for Complex Networks KW - clustering KW - degree KW - network KW - small-world AU - Guillaume, Jean-Loup AU - Latapy, Matthieu PY - 2003/Jul/04/ UR - http://arxiv.org/abs/cond-mat/0307095 ER -