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Aurelio La Corte

Associate professor in Telecommunication Engineering at University of Catania

Aurelio La Corte was born in Catania, Italy, in 1961. He received the degree in electrical engineering from the University of Catania in 1988, and the PhD in Electronic Engineering and Computer Science in 1994. From 1994 he is at the University of Catania. He is an associate professor in Telecommunication Engineering. His scientific interests include digital signal processing, distributed systems, network and QoS management techniques, risk analysis of ICT systems, bio-inspired models for information security, protocols and architecture for integrated communications. He has authored or co-authored about sixty research papers, published in international journals and conference proceedings.

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Marialisa Scatá

Post-doctoral researcher at University of Catania

Marialisa Scatá was born in Siracusa, Italy, in 1981. She received her B.S. and M.S. degrees in Telecommunication Engineering, from Department of Electrical, Electronics and Computer Engineering, University of Catania, Italy. She holds a Ph. D. in Computer Science and Telecommunication Engineering at the same department, under the guidance of Prof. Aurelio La Corte, in 2012. She made an internship at Computer Laboratory, Department of Computer Science, University of Cambridge (UK), under the supervision of Prof. Pietro Lió, in 2011. Currently she works as post-doctoral research at DIEEI, University of Catania. Her current research interests include bio-inspired, heuristics, multilayer networks, social contagion, Big Data, healthcare, energy-aware models, social network analysis, bio-diversity, risk analysis, ICT, security, WSN.

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Alessandro Di Stefano

Ph. D. Student in Systems Engineering at University of Catania

Alessandro Di Stefano was born in Catania, Italy, in 1985. He received his B.S. and M.S. degrees in Telecommunications Engineering from Department of Electric, Electronic and Computer Engineering, Catania, Italy, in 2009 and 2012, respectively. He made an internship at Computer Laboratory, Department of Computer Science, University of Cambridge (UK), under the supervision of Prof. Pietro Lió, in 2014. Currently he is a Ph. D. Student in Systems Engineering at University of Catania, Italy, under the guidance of Prof. Aurelio La Corte. He has an interdisciplinary approach to research and his current research interests include game theory, multilayer networks, social contagion, complex systems, multi-agent systems, healthcare, big data, heuristics, risk perception, self-organization, biodiversity, energy-aware models, wireless sensor networks (WSNs) and bio-inspired algorithms.

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Ermanno Guardo

Ph. D. Student in Systems, Energetics, Computer and Telecommunications Engineering at University of Catania

Ermanno Guardo was born in Catania, Italy, in 1984. He received his B.S. and M.S. degrees in Computer Engineering from Department of Electric, Electronic and Computer Engineering, Catania, Italy, in 2010 and 2013, respectively. Currently he is a Ph. D. Student in Systems, Energetics, Computer and Telecommunications Engineering at University of Catania, Italy, under the guidance of Prof. Aurelio La Corte, and in collaboration with Joint Open Lab of Telecom Italia. His research interests include Internet of Everything, Smart City, wearable devices, app development, social networks, social dynamics (critical mass, homophily) and middleware solutions.

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Emanuele Catania

Research assistant at University of Catania

Emanuele Catania was born in Catania, Italy, in 1981. He received his M.S. degree in Electronics Engineering from Department of Electric, Electronic and Computer Engineering, Catania, Italy, in 2007. He worked as software developer first and software architect then, focusing on functional analysis and implementation of virtual systems, semantic web, and information security. Currently he is a research assistant at University of Catania, Italy, under the guidance of Prof. Aurelio La Corte. His research interests include social networks, smart communications, systems architecture, security on mobile ecosystem and web and mobile apps.


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Mission - Undestanding social dynamics and multilayer structure for knowledge diffusion.

Following social network analysis methodologies and a context-aware approach, related to the dynamics of complex systems, it is possible to find out hidden emergent behaviors inside the population.


Social Network Links explain why social events occurs.

Node, strong and weak ties help us to understand how peolple cooperate.

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Competition

The strength of peeople evolution: “Serves as a mechanism for determining the best-suited group: politically, economically and ecologically”.


Cooperation Ties and Homophily.

The power of community: how to reach a target using collective intelligence.

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Future Works

Finding out the satisficing homophily value, which maximizes the evolution of cooperation, maintaining a certain amount of biodiversity between nodes, and we will extend the study also to types of social network structures other than scale-free networks.