The document discusses the work of associate professor Jari Saramäki on complex networks, covering their structure, evolution, and impacts on dynamic processes through mathematical and computational tools. Research areas include social networks, human brain networks, transport systems, and genetic networks, with a focus on understanding temporal changes and resilience in network design. Examples of research questions highlight the examination of social network evolution and the creation of robust public transport networks.

1. Associate professor Jari Saramäki
Complex Networks

2. Complex Networks in a Nutshell
XX.XX.XXXX
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