Community detection with metadata in a network of biographies of western
art painters
art painters
File(s)1802.07985v1.pdf (9.05 MB)
Working paper
Author(s)
Kitromilidis, Michael
Evans, Tim S
Type
Working Paper
Abstract
In this work we look at the structure of the influences between Western art
painters as revealed by their biographies on Wikipedia. We use a modified
version of modularity maximisation with metadata to detect a partition of
artists into communities based on their artistic genre and school in which they
belong. We then use this community structure to discuss how influential artists
reached beyond their own communities and had a lasting impact on others, by
proposing modifications on standard centrality measures.
painters as revealed by their biographies on Wikipedia. We use a modified
version of modularity maximisation with metadata to detect a partition of
artists into communities based on their artistic genre and school in which they
belong. We then use this community structure to discuss how influential artists
reached beyond their own communities and had a lasting impact on others, by
proposing modifications on standard centrality measures.
Date Issued
2018-02-22
Citation
2018
Publisher
arXiv
Copyright Statement
© 2018 The Author(s)
Identifier
http://arxiv.org/abs/1802.07985v1
Subjects
physics.soc-ph
physics.soc-ph
cs.SI
Notes
18 pages, 17 figures
Publication Status
Published