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Authors: Marialisa Scatà 1 ; Alessandro Di Stefano 1 ; Evelina Giacchi 1 ; Aurelio La Corte 1 and Pietro Liò 2

Affiliations: 1 University of Catania, Italy ; 2 University of Cambridge, United Kingdom

ISBN: 978-989-758-042-0

Keyword(s): Bio-Inspired, ICT, Social Networks, Multilayer Networks, Data Mining, Comorbidity, Game Theory, Decision Making, Health.

Related Ontology Subjects/Areas/Topics: Cloud Computing ; Collaboration and e-Services ; Collaborative Networking ; Data Communication Networking ; e-Business ; Enterprise Information Systems ; Internet of Things ; Network Architectures ; Platforms and Applications ; Sensor Networks ; Social Networks ; Software Agents and Internet Computing ; Software and Architectures ; Telecommunications

Abstract: Following a bio-inspired approach, applied to multilayer social networks, the idea is to build a novel paradigm aimed to improve methodologies and analysis in the Information and Communication Technologies. The social network and the multilayer structure allow to carry out an analysis of the complex patterns, in terms of the dynamics involving the main entities, nodes and data. The nodes represent the basic kernel from which generating ties, interactions, flow of information, influences and action strategies that affect the communities. The data, gathered from multiple sources, after their integration, will become complex objects, enclosing different kinds of information. The proposed approach introduces a level of abstraction that originates from the evolution of nodes and data transformed in “social objects”. This new paradigm consists of a multilayer social network, divided into three layers, generating an increasing awareness, from “things” to “knowledge”, extracting as much “know ledge” as possible. This paradigm allows to redesign the ICT in a bio-networks driven approach. (More)

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Paper citation in several formats:
Scatà, M.; Di Stefano, A.; Giacchi, E.; La Corte , A. and Liò, P. (2014). The Bio-Inspired and Social Evolution of Node and Data in a Multilayer Network.In Proceedings of the 5th International Conference on Data Communication Networking - Volume 1: DCNET, (ICETE 2014) ISBN 978-989-758-042-0, pages 41-46. DOI: 10.5220/0005119600410046

@conference{dcnet14,
author={Marialisa Scatà. and Alessandro Di Stefano. and Evelina Giacchi. and Aurelio La Corte . and Pietro Liò.},
title={The Bio-Inspired and Social Evolution of Node and Data in a Multilayer Network},
booktitle={Proceedings of the 5th International Conference on Data Communication Networking - Volume 1: DCNET, (ICETE 2014)},
year={2014},
pages={41-46},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005119600410046},
isbn={978-989-758-042-0},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Data Communication Networking - Volume 1: DCNET, (ICETE 2014)
TI - The Bio-Inspired and Social Evolution of Node and Data in a Multilayer Network
SN - 978-989-758-042-0
AU - Scatà, M.
AU - Di Stefano, A.
AU - Giacchi, E.
AU - La Corte , A.
AU - Liò, P.
PY - 2014
SP - 41
EP - 46
DO - 10.5220/0005119600410046

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