Quantifying networks complexity from information geometry viewpoint
Work
Year: 2014
Type: article
Abstract: We consider a Gaussian statistical model whose parameter space is given by the variances of random variables. Underlying this model we identify networks by interpreting random variables as sitting on ... more
Source: Journal of Mathematical Physics
Institutions Università di Camerino, Istituto Nazionale di Fisica Nucleare, Sezione di Perugia, Centre de Physique Théorique, Aix-Marseille Université
Cites: 20
Cited by: 24
Related to: 10
FWCI: 3.131
Citation percentile (by year/subfield): 84.06
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze