Speaker
Andrea Lancichinetti
(ISI)
Description
Anomalous structures in networks are crucial for
understanding the function and the organization of complex
systems. The problem is related to computing the probability
of finding such structures on a proper null model. Although
it is quite natural to choose as a candidate the
configuration model in the case of unweighted networks, it
is less trivial how to define good null models for weighted
and time-dependent networks. We discuss the problem, its
connections with studies on backbones of weighted networks,
and some implications on how to make null models more
similar to true models of real systems.
