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Associate professor Jari Saramäki
Complex Networks
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

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Complex 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