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SUMMARY:Discovering and quantifying patterns in networks with coloured nod
 es - Dr Vincenzo Nicosia
DTSTART:20220616T140000Z
DTEND:20220616T150000Z
UID:TALK175709@talks.cam.ac.uk
CONTACT:Sarah Morgan
DESCRIPTION:Graphs with coloured nodes provide an informative model for co
 mplex systems whose units are associated to a discrete number of classes. 
 Some relevant examples include social systems\, geographic networks\, and 
 cell adjacency networks. Quite often\, as in the case of geographical netw
 orks\, the arrangement of those classes is an important aspect of the glob
 al organisation of the system. Hence\, quantifying the existence of hetero
 geneity and correlations in the assignment of the nodes of a graph to clas
 ses is paramount to characterise the behaviour of a system. In this talk w
 e will cover the basics of networks with coloured nodes\, and we will show
  how a simple set of measures\, based on random walks on the graph\, can b
 e effectively used to measure the existence of correlations and heterogene
 ity among classes.  Interesting applications include the quantification of
  spatial segregations in cities\, the identification of polarisation in so
 cial systems\, the emergence of robust spatial organisation in plant tissu
 es\, and the incorporation of metadata in community detection tasks.
LOCATION:Online
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