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Dragon-kings: Mechanisms, statistical methods and empirical evidence

"Dragon-kings: Mechanisms, statistical
methods and empirical evidence
D. Sornette and G. Ouillon

 

This introductory article presents the special Discussion and
Debate volume “From black swans to dragon-kings, is there life beyond
power laws?”

 

We summarize and put in perspective the contributions
into three main themes: (i) mechanisms for dragon-kings, (ii) detection
of dragon-kings and statistical tests and (iii) empirical evidence in a
large variety of natural and social systems.

 

Overall, we are pleased to
witness significant advances both in the introduction and clarification
of underlying mechanisms and in the development of novel efficient
tests that demonstrate clear evidence for the presence of dragon-kings
in many systems.

 

However, this positive view should be balanced by the
fact that this remains a very delicate and difficult field, if only due to
the scarcity of data as well as the extraordinary important implications
with respect to hazard assessment, risk control and predictability."

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FuturICT: Exploratory of society: L. E. Cederman, R. Conte, D. Helbing, A. Nowak, F. Schweitzer, A. Vespignani

FuturICT: Exploratory of society: L. E. Cederman, R. Conte, D. Helbing, A. Nowak, F. Schweitzer, A. Vespignani | FuturICT Journal Publications | Scoop.it

FuturICT: Exploratory of Society

L. E. Cederman, R. Conte, D. Helbing, A. Nowak, F. Schweitzer, A. Vespignani

Abstract

A huge flow of quantitative social, demographic and behavioral data is becoming available that traces the activities and interactions of individuals, social patterns, transportation infrastructures and travel fluxes. This has caused, together with innovative computational techniques and methods for modeling social actions in hybrid (natural and artificial) societies, a qualitative change in the ways we model socio-technical systems.

 

For the first time, society can be studied in a comprehensive fashion that addresses social and behavioral complexity. In other words we are in the position to envision the development of large data and computational cyber infrastructure defining an exploratory of society that provides quantitative anticipatory, explanatory and scenario analysis capabilities ranging from emerging infectious disease to conflict and crime surges.

 

The goal of the exploratory of society is to provide the basic infrastructure embedding the framework of tools and knowledge needed for the design of forecast/anticipatory/crisis management approaches to socio technical systems, supporting future decision making procedures by accelerating the scientific cycle that goes from data generation to predictions.

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JOURNAL: THE EUROPEAN PHYSICAL JOURNAL SPECIAL TOPICS  Vol. 214 (November II 2012)"Participatory Science and Computing for Our Complex World".

http://epjst.epj.org/index.php?option=com_toc&url=/articles/epjst/abs/2012/14/contents/contents.html

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