RSS flows, world structure & community detection

  • Françoise Queyroi CNRS, UMR Géographie-cités
  • Laurent Beauguitte CNRS, UMR IDEES
  • Hugues Pecout CNRS, UMS RIATE

Abstract

We investigate the relevance of community detection methods from a thematic and a geographic perspective when applied to a network of co-citations in newspapers international RSS flows. We compare the results of different state-of-the-art algorithms. We find that building a consensus from the possible decompositions found is important in order to capture a macro global organization as well as local phenomena.

Published
2017-10-09
How to Cite
QUEYROI, Françoise; BEAUGUITTE, Laurent; PECOUT, Hugues. RSS flows, world structure & community detection. Plurimondi, [S.l.], n. 17, oct. 2017. ISSN 2420-921X. Available at: <http://plurimondi.poliba.it/index.php/Plurimondi/article/view/46>. Date accessed: 14 oct. 2019.