Using data from three bibliographic databases in biology, physics, and
mathematics respectively, networks are constructed in which the nodes
are scientists and two scientists are connected if they have coauthored
a paper together. We use these networks to answer a broad variety of
questions about collaboration patterns, such as the numbers of papers
authors write, how many people they write them with, what the typical
distance between scientists is through the network, and how patterns of
collaboration vary between subjects and over time. We also summarize a
number of recent results by other authors on coauthorship patterns.
%0 Journal Article
%1 citeulike:681786
%A Newman, Mark E. J.
%D 2004
%J Proceedings of the National Academy of Sciences of the United States of America
%K community
%N 1
%P 5200--5205
%R www.pnas.orgcgidoi10.1073pnas.0307545100
%T Coauthorship networks and patterns of scientific collaboration
%U http://www.cam.cornell.edu/~ariel/scientific_ideas/scient_coll3.pdf
%V 101
%X Using data from three bibliographic databases in biology, physics, and
mathematics respectively, networks are constructed in which the nodes
are scientists and two scientists are connected if they have coauthored
a paper together. We use these networks to answer a broad variety of
questions about collaboration patterns, such as the numbers of papers
authors write, how many people they write them with, what the typical
distance between scientists is through the network, and how patterns of
collaboration vary between subjects and over time. We also summarize a
number of recent results by other authors on coauthorship patterns.
@article{citeulike:681786,
abstract = {Using data from three bibliographic databases in biology, physics, and
mathematics respectively, networks are constructed in which the nodes
are scientists and two scientists are connected if they have coauthored
a paper together. We use these networks to answer a broad variety of
questions about collaboration patterns, such as the numbers of papers
authors write, how many people they write them with, what the typical
distance between scientists is through the network, and how patterns of
collaboration vary between subjects and over time. We also summarize a
number of recent results by other authors on coauthorship patterns.},
added-at = {2006-09-25T12:54:00.000+0200},
author = {Newman, Mark E. J.},
biburl = {https://www.bibsonomy.org/bibtex/209d67d53c06d4125034def58475374a1/grahl},
citeulike-article-id = {681786},
doi = {www.pnas.orgcgidoi10.1073pnas.0307545100},
interhash = {4d247d4a2b7516e133bbdf79aeb7ed31},
intrahash = {09d67d53c06d4125034def58475374a1},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
keywords = {community},
month = {April},
number = 1,
pages = {5200--5205},
priority = {0},
timestamp = {2006-09-25T12:54:00.000+0200},
title = {Coauthorship networks and patterns of scientific collaboration},
url = {http://www.cam.cornell.edu/~ariel/scientific_ideas/scient_coll3.pdf},
volume = 101,
year = 2004
}