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Modeling Epidemic Risk Perception in Networks with Community Structure

Abstract. We study the inflence of global, local and community-level risk perception on the extinction probability of a disease in several mod- els of social networks. In particular, we study the infection progression as a susceptible-infected-susceptible (SIS) model on several modular net- works, formed by a certain number of random and scale-free communi- ties. We find that in the scale-free networks the progression is faster than in random ones with the same average connectivity degree. For what concerns the role of perception, we find that the knowledge of the infection level in one's own neighborhood is the most e ective property in stopping the spreading of a disease, but at the same time the more expensive one in terms of the quantity of required information, thus the cost/e ectiveness optimum is a trade of etween several parameters. Key words: risk perception, SIS model, complex networks

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FuturICT: A planetary nervous system for social mining and collective awareness:F.Giannotti, D.Pedreschi, A.Pentland, P.Lukowicz, D.Kossmann, J. Crowley and D.Helbing

FuturICT: A planetary nervous system for social mining and collective awareness:F.Giannotti, D.Pedreschi, A.Pentland, P.Lukowicz, D.Kossmann, J. Crowley and D.Helbing | FuturICT Journal Publications | Scoop.it
By F.Giannotti, D.Pedreschi, A.Pentland, P.Lukowicz, D.Kossmann, J. Crowley and D.Helbing
We present a research roadmap of a Planetary Nervous System (PNS), capable of sensing and mining the digital breadcrumbs of human activities and unveiling the knowledge hidden in the big data for addressing the big questions about social complexity. We envision the PNS as a globally distributed, self-organizing, techno-social system for answering analytical questions about the status of world-wide society, based on three pillars: social sensing, social mining and the idea of trust networks and privacy-aware social mining. We discuss the ingredients of a science and a technology necessary to build the PNS upon the three mentioned pillars, beyond the limitations of their respective state-of-art. Social sensing is aimed at developing better methods for harvesting the big data from the techno-social ecosystem and make them available for mining, learning and analysis at a properly high abstraction level. Social mining is the problem of discovering patterns and models of human behaviour from the sensed data across the various social dimensions by data mining, machine learning and social network analysis. Trusted networks and privacy-aware social mining is aimed at creating a new deal around the questions of privacy and data ownership empowering individual persons with full awareness and control on own personal data, so that users may allow access and use of their data for their own good and the common good. The PNS will provide a goal-oriented knowledge discovery framework, made of technology and people, able to configure itself to the aim of answering questions about the pulse of global society. Given an analytical request, the PNS activates a process composed by a variety of interconnected tasks exploiting the social sensing and mining methods within the transparent ecosystem provided by the trusted network. The PNS we foresee is the key tool for individual and collective awareness for the knowledge society. We need such a tool for everyone to become fully aware of how powerful is the knowledge of our society we can achieve by leveraging our wisdom as a crowd, and how important is that everybody participates both as a consumer and as a producer of the social knowledge, for it to become a trustable, accessible, safe and useful public good.
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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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