The structure of scientific collaboration networks Export

@article{citeulike:354224, abstract = {We investigate the structure of scientific collaboration networks. We consider two scientists to be connected if they have authored a paper together, and construct explicit networks of such connections using data drawn from a number of databases, including MEDLINE (biomedical research), the Los Alamos e-Print Archive (physics), and NCSTRL (computer science). We show that these collaboration networks form "small worlds" in which randomly chosen pairs of scientists are typically separated by only a short path of intermediate acquaintances. We further give results for mean and distribution of numbers of collaborators of authors, demonstrate the presence of clustering in the networks, and highlight a number of apparent differences in the patterns of collaboration between the fields studied.}, archivePrefix = {arXiv}, author = {Newman, M. E. J.}, citeulike-article-id = {354224}, citeulike-linkout-0 = {http://arxiv.org/abs/cond-mat/0007214}, citeulike-linkout-1 = {http://arxiv.org/pdf/cond-mat/0007214}, eprint = {cond-mat/0007214}, keywords = {collaboration, koelpu, science}, month = {Jul}, posted-at = {2005-11-02 19:41:10}, priority = {2}, title = {The structure of scientific collaboration networks}, url = {http://arxiv.org/abs/cond-mat/0007214}, year = {2000} }

TY - JOUR ID - citeulike:354224 L3 - citeulike-article-id:354224 N2 - We investigate the structure of scientific collaboration networks. We consider two scientists to be connected if they have authored a paper together, and construct explicit networks of such connections using data drawn from a number of databases, including MEDLINE (biomedical research), the Los Alamos e-Print Archive (physics), and NCSTRL (computer science). We show that these collaboration networks form "small worlds" in which randomly chosen pairs of scientists are typically separated by only a short path of intermediate acquaintances. We further give results for mean and distribution of numbers of collaborators of authors, demonstrate the presence of clustering in the networks, and highlight a number of apparent differences in the patterns of collaboration between the fields studied. TI - The structure of scientific collaboration networks KW - collaboration KW - koelpu KW - science AU - Newman, MEJ PY - 2000/Jul/12/ UR - http://arxiv.org/abs/cond-mat/0007214 ER -