The bio-inspired and social evolution of node and data in a multilayer network

Marialisa Scatà, Alessandro Di Stefano, Evelina Giacchi, Aurelio La Corte, Pietro Liò

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

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 "knowledge" as possible. This paradigm allows to redesign the ICT in a bio-networks driven approach.

Original languageEnglish
Title of host publicationDCNET 2014 - Proceedings of the 5th International Conference on Data Communication Networking, Part of ICETE 2014 - 11th International Joint Conference on e-Business and Telecommunications
EditorsMohammad S. Obaidat, Andreas Holzinger, Jose Luis Sevillano, Pascal Lorenz
PublisherSciTePress
Pages41-46
Number of pages6
ISBN (Electronic)9789897580420
DOIs
Publication statusPublished - 30 Aug 2014
Externally publishedYes
Event5th International Conference on Data Communication Networking, DCNET 2014 - Part of 11th International Joint Conference on e-Business and Telecommunications, ICETE 2014 - Vienna, Austria
Duration: 28 Aug 201430 Aug 2014

Publication series

NameDCNET 2014 - Proceedings of the 5th International Conference on Data Communication Networking, Part of ICETE 2014 - 11th International Joint Conference on e-Business and Telecommunications

Conference

Conference5th International Conference on Data Communication Networking, DCNET 2014 - Part of 11th International Joint Conference on e-Business and Telecommunications, ICETE 2014
CountryAustria
CityVienna
Period28/08/1430/08/14

Fingerprint Dive into the research topics of 'The bio-inspired and social evolution of node and data in a multilayer network'. Together they form a unique fingerprint.

  • Cite this

    Scatà, M., Di Stefano, A., Giacchi, E., La Corte, A., & Liò, P. (2014). The bio-inspired and social evolution of node and data in a multilayer network. In M. S. Obaidat, A. Holzinger, J. L. Sevillano, & P. Lorenz (Eds.), DCNET 2014 - Proceedings of the 5th International Conference on Data Communication Networking, Part of ICETE 2014 - 11th International Joint Conference on e-Business and Telecommunications (pp. 41-46). (DCNET 2014 - Proceedings of the 5th International Conference on Data Communication Networking, Part of ICETE 2014 - 11th International Joint Conference on e-Business and Telecommunications). SciTePress. https://doi.org/10.5220/0005119600410046