The structure of scientific collaboration networks is investigated. Two scientists are considered connected if they have authored a paper together and explicit networks of such connections are constructed by using data drawn from a number of databases, including MEDLINE biomedical research, the Los Alamos e-Print Archive physics, and NCSTRL computer science. I 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. I 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.
%0 Journal Article
%1 newman2001structure
%A Newman, M. E. J.
%D 2001
%J Proceedings of the National Academy of Sciences
%K collaboration_network evolution master_thesis
%N 2
%P 404--409
%R 10.1073/pnas.98.2.404
%T The structure of scientific collaboration networks
%U http://www.pnas.org/content/98/2/404.abstract
%V 98
%X The structure of scientific collaboration networks is investigated. Two scientists are considered connected if they have authored a paper together and explicit networks of such connections are constructed by using data drawn from a number of databases, including MEDLINE biomedical research, the Los Alamos e-Print Archive physics, and NCSTRL computer science. I 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. I 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.
@article{newman2001structure,
abstract = {The structure of scientific collaboration networks is investigated. Two scientists are considered connected if they have authored a paper together and explicit networks of such connections are constructed by using data drawn from a number of databases, including MEDLINE biomedical research, the Los Alamos e-Print Archive physics, and NCSTRL computer science. I 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. I 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.},
added-at = {2014-10-01T22:21:44.000+0200},
author = {Newman, M. E. J.},
biburl = {https://www.bibsonomy.org/bibtex/2a4d3149c7198762a99102935da4d1bdb/subhashpujari},
doi = {10.1073/pnas.98.2.404},
eprint = {http://www.pnas.org/content/98/2/404.full.pdf+html},
interhash = {8c5edd915b304ae09fc08e0a51dfd5e9},
intrahash = {a4d3149c7198762a99102935da4d1bdb},
journal = {Proceedings of the National Academy of Sciences},
keywords = {collaboration_network evolution master_thesis},
number = 2,
pages = {404--409},
timestamp = {2014-10-01T22:21:44.000+0200},
title = {The structure of scientific collaboration networks},
url = {http://www.pnas.org/content/98/2/404.abstract},
volume = 98,
year = 2001
}