Research Domain
Computational Social Science

Research Leaders
Ciro Cattuto

The activity of Computational Social Science domain research aims at investigating social phenomena through the medium of computing and related advanced information processing technologies, leveraging the capacity to collect and analyze data with an unprecedented breadth, depth and scale. People are mainly engaged in a passive way (they are not aware of being part of a scientific experiment); their involvement adds a semantic layer allowing the research to investigate HOW the social phenomena evolve.

Social scientists organize and classify the number, variety, and severity of criticalities, if not pathologies and failures, recurring in complex social systems. These are amongst the most severe social problems, difficult to predict and treat, and raising serious social alarm. Furthermore, human society has never before changed as fast as it is changing today. Technological development has opened entirely new channels of communication, induced new behavioural patterns, substantially influenced organization principles, and its products are becoming history-forming factors.

The challenge related to the mentioned research activities is inherent to fundamental features of social complexity. Computational social science is aimed at achieving two main objectives:

I. To favour and take advantage of massive ICT data.
II. To build both predictive and explanatory models.

Both objectives must be achieved to turn social science into applicable tools that can inform decision makers about issues of major concern.

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Projects

KREYON - Unfolding the dynamics of creativity, novelties and innovation
T

The project is proposing for the first time a unitary approach where creativity and innovation are seen as two sides of the same coin and jointly investigated and modeled.

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Experimental Tribe
E

Experimental Tribe is a web platform for gaming and social computation. It helps researchers to realize web games/experiments and it let people join, while enjoying, the scientific research.

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Publications

Epidemic processes in complex networks

R. Pastor-Satorras, C. Castellano, P. Van Mieghem, A. Vespignani

Rev. Mod. Phys. 87, 3 (2015)

Time varying networks and the weakness of strong ties

M. Karsai, N. Perra, A. Vespignani

Scientific Reports 4 (2014)

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Damage detection via shortest-path network sampling

F. Ciulla, N. Perra, A. Baronchelli, A. Vespignani

Phys. Rev. E 052816 (2014)

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