BibTex format
@unpublished{Chen:2019,
author = {Chen, B and Lin, Z and Evans, TS},
publisher = {arXiv},
title = {Analysis of the Wikipedia network of mathematicians},
url = {http://arxiv.org/abs/1902.07622v2},
year = {2019}
}
Publications
Citation
RIS format (EndNote, RefMan)
TY - UNPB
AB - We look at the network of mathematicians defined by the hyperlinks betweentheir biographies on Wikipedia. We show how to extract this information usingthree snapshots of the Wikipedia data, taken in 2013, 2017 and 2018. Weillustrate how such Wikipedia data can be used by performing a centralityanalysis. These measures show that Hilbert and Newton are the most importantmathematicians. We use our example to illustrate the strengths and weakness ofcentrality measures and to show how to provide estimates of the robustness ofcentrality measurements. In part, we do this by comparison to results from twoother sources: an earlier study of biographies on the MacTutor website and asmall informal survey of the opinion of mathematics and physics students atImperial College London.
AU - Chen,B
AU - Lin,Z
AU - Evans,TS
PB - arXiv
PY - 2019///
TI - Analysis of the Wikipedia network of mathematicians
UR - http://arxiv.org/abs/1902.07622v2
UR - https://arxiv.org/abs/1902.07622v2
UR - http://hdl.handle.net/10044/1/77436
ER -