Preferential attachment in the growth of social networks: the case of Wikipedia Export

@misc{citeulike:525472, abstract = {We present an analysis of the statistical properties and growth of the free on-line encyclopedia Wikipedia. By describing topics by vertices and hyperlinks between them as edges, we can represent this encyclopedia as a directed graph. The topological properties of this graph are in close analogy with that of the World Wide Web, despite the very different growth mechanism. In particular we measure a scale--invariant distribution of the in-- and out-- degree and we are able to reproduce these features by means of a simple statistical model. As a major consequence, Wikipedia growth can be described by local rules such as the preferential attachment mechanism, though users can act globally on the network.}, archivePrefix = {arXiv}, author = {Capocci, A. and Servedio, V. D. P. and Colaiori, F. and Buriol, L. S. and Donato, D. and Leonardi, S. and Caldarelli, G.}, citeulike-article-id = {525472}, citeulike-linkout-0 = {http://arxiv.org/abs/physics/0602026}, citeulike-linkout-1 = {http://arxiv.org/pdf/physics/0602026}, day = {27}, eprint = {physics/0602026}, keywords = {attachment, networks, preferential}, month = {Feb}, posted-at = {2006-06-28 11:26:48}, priority = {2}, title = {Preferential attachment in the growth of social networks: the case of Wikipedia}, url = {http://arxiv.org/abs/physics/0602026}, year = {2006} }

TY - ELEC ID - citeulike:525472 L3 - citeulike-article-id:525472 N2 - We present an analysis of the statistical properties and growth of the free on-line encyclopedia Wikipedia. By describing topics by vertices and hyperlinks between them as edges, we can represent this encyclopedia as a directed graph. The topological properties of this graph are in close analogy with that of the World Wide Web, despite the very different growth mechanism. In particular we measure a scale--invariant distribution of the in-- and out-- degree and we are able to reproduce these features by means of a simple statistical model. As a major consequence, Wikipedia growth can be described by local rules such as the preferential attachment mechanism, though users can act globally on the network. TI - Preferential attachment in the growth of social networks: the case of Wikipedia KW - attachment KW - networks KW - preferential AU - Capocci, A AU - Servedio, VDP AU - Colaiori, F AU - Buriol, LS AU - Donato, D AU - Leonardi, S AU - Caldarelli, G PY - 2006/Feb/27/ UR - http://arxiv.org/abs/physics/0602026 ER -