Speaker
Dr
Martin Rosvall
(Umeå University)
Description
Ever since Aristotle, organization and classification have
been cornerstones of science. In network science,
categorization of nodes into modules with
community-detection algorithms has proven indispensable to
comprehending the structure of large integrated systems. But
in real-world networks, the organization rarely is limited
to two levels, and modular descriptions can only provide
cross sections of much richer structures. For example, both
biological and social systems are often characterized by
hierarchical organization with submodules in modules over
multiple scales. In many real-world networks, directed and
weighted links represent the constraints that the structure
of a network places on dynamical processes taking place on
this network. Networks thus often represent literal or
metaphorical flows: people surfing the web, passengers
traveling between airports, ideas spreading between
scientists, funds passing between banks, and so on. This
flow through a system makes its components interdependent to
varying extents. In my talk, I will present our
information-theoretic approach to reveal the multiple levels
of interdependences between the nodes of a network.
