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DYSONET

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Title: DYSONET

1
DYSONET
P. Argyrakis (Greece)
S. Havlin (Israel)
H.E. Stanley (USA)
F. Liljeros (Sweden)

HUMAN BEHAVIOR THROUGH DYNAMICS OF COMPLEX SOCIAL
NETWORKS
AN INTERDISCIPLINARY APPROACH

R. Mantegna (Italy)
A. Bunde (Germany)
J.F.F. Mendes (Portugal)
2
The consortium
Duration of the project 36 months Co-ordinator
Prof. Panos ARGYRAKIS
3
Geographical distribution
SU
BU
JLUG
UA
AUTH
INFM
BIU
4
DYSONET Summary

Develop the basic science of complex social
networks in a quantitative way,
Apply our findings to the dynamics of human
behavior, and generalize to a wider range of
networks, including economic, traffic, and
environmental networks.
Methods and techniques based on Statistical
Physics concepts
Quantitative characterization of complex social
networks by analyzing a number of real-world
phenomena, including crowd behavior, search
strategies, traffic flow, dynamics of human
relationship networks, spread of epidemics
Dynamic patterns in other disciplines, such as
Economics and Finance, and Environmental
networks.
Characterize, optimize and control the structure,
dynamics and flow in complex social networks
Our studies will use extensive real-world data of
social nature, which will be collected in the
frame of the project.

5
Objectives

To focus and develop further the science and
applications of the dynamics of complex social
networks
To apply similar techniques and investigate 2 or
3 other key systems, such as networks in
econophysics, traffic and environment, thus
showing the generality of our methods
To provide our developed tools and methods to
other fields, by making them easily available,
through the Internet.

6
Real-world phenomena to study

Crowd behavior strategies to evacuate people and
stop panic.
Search strategies efficient networks for
searching objects and people.
Traffic flow optimization of collective flow.
Dynamics of collaboration human relationship
networks such as collaboration, opinion
propagation and email networks.
Spread of epidemics efficient immunization
strategies.
Patterns in economics and finance dynamic
patterns in other disciplines, such as Economics
and Finance, and Environmental networks.

7
Methodology

1. Real-world data collection. Collect large
scale real-world data for social networks in
Sweden.
2. Network Model Characterization. Develop
network models and characterize critical
properties of these networks, such as (a)
robustness against attacks and failures, (b)
capability for network flow.
3. Designs for Network Optimization. Identify
designs of network models which are optimized for
robustness and flow.
4. Analysis of Real World Networks. Apply our
findings of the phases 2 and 3 to the real world
networks of phase 1, and generalize to other
types of networks.
We will develop Statistical Physics techniques,
that will be reformulated and generalized for
social networks, in combination with real-world
data.

8
Potential Impact

Applications are mainly related to the dynamics
of human behavior
The basic science and the methods developed will
be applicable to a broad range of phenomena (e.g.
the robustness of power grids, the spreads of
rumors and epidemics, efficient immunization,
efficient searching, etc).
Important questions to be answered
(a) What are the fundamental properties that
characterize the type of a network?
(b) What mathematical model represent a given
real world network?
(c) How are stability, robustness, dynamics and
transport properties of these models
characterized?
(d) What network design strategies can be
developed to optimize the stability, robustness,
and efficiency of transport on these networks?
Other direct useful benefits
(a) Efficient approaches for immunization and
panic control.
(b) Design of optimal networks, for tasks such
as searching people and distributing goods.
(c) Optimal approaches for crowd evacuation
during panic situations, such as in cases of
earthquakes, terrorist attacks, etc.

9
Project management

Project organization
The main roles and boards in the project are
The project manager (PM) and one associate
project manager per group (APM).
The project management board (PMB)
The project financial administrator (PFA)
The scientific coordinator (SC)
One Work-package Leader (WPL) for each project
Work-package
The Project Management Board is composed of the
PM and of all APMs.
The Project Financial Administrator is
responsible for formal administrative
arrangements with the EC (such as cost statement
gathering and submission, etc.).
The Scientific Co-ordinator will be responsible
for the co-ordination of the technical work to be
done during the project.
Each Work-package will have a Leader, nominated
by the responsible partner.