2. Complex Networks in a Nutshell
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δ= 0 δ= 0.1
δ= 0.5 δ= 1
apply mathematical &
computational tools to
understand network
structure, its evolution,
and its effects on
dynamical processes
on networks
We study complex networks from different domains: social networks, the
human brain, transport networks, genetic systems…
1. Data on a network is collected
3. Simulations are conducted to understand how network
structure affects processes (e.g. information flow)
2. The structure and time
evolution of the network
are examined; these reveal
a lot about the function of
the network
Examples of research
questions:
• How do our social
networks change in
time? Are there
features that do not
change? Why?
• How to design a
network (e.g. of
public transport)
that is very error-
tolerant and resilient
to problems?
Flowchart for a typical study