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Manifesto of computational social science

Authors: Conte, R.; Gilbert, N.; Bonelli, G.; Cioffi-Revilla, C.; Deffuant, G.; Kertesz, J.; Loreto, V.; +8 Authors

Manifesto of computational social science

Abstract

The increasing integration of technology into our lives has created unprecedented volumes of data on society's everyday behaviour. Such data opens up exciting new opportunities to work towards a quantitative understanding of our complex social systems, within the realms of a new discipline known as Computational Social Science. Against a background of financial crises, riots and international epidemics, the urgent need for a greater comprehension of the complexity of our interconnected global society and an ability to apply such insights in policy decisions is clear. This manifesto outlines the objectives of this new scientific direction, considering the challenges involved in it, and the extensive impact on science, technology and society that the success of this endeavour is likely to bring about.

The publication of this work was partially supported by the European Union’s Seventh Framework Programme (FP7/2007–2013) under grant agreement No. 284709, a Coordination and Support Action in the Information and Communication Technologies activity area (‘FuturICT’ FET Flagship Pilot Project). We are grateful to the anonymous reviewers for the insightful comments.

Publicado

Countries
United Kingdom, Italy, Italy, France, Netherlands, Spain, Italy
Keywords

[SDE] Environmental Sciences, DYNAMICS, Atomic Molecular Optical and Plasma Physics, Matemáticas, Social Sciences, Materials Science general, Physics and Astronomy(all), QA76, EMERGENCE, H, LOCAL CONVERGENCE, Materials Science(all), SYSTEMS, SIMULATION SOCIALE, REPUTATION, Physics, general, Measurement Science and Instrumentation, Physical and Theoretical Chemistry, COLLAPSE, H1-99, COEVOLUTION, Classical Continuum Physics, SCIENCE, Condensed Matter Physics, MODELISATION, EVOLUTION, 004, NETWORKS, MODEL, Social sciences (General), [SDE]Environmental Sciences, Computational Social Science

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download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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291
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