TY - GEN
T1 - The bio-inspired and social evolution of node and data in a multilayer network
AU - Scatà, Marialisa
AU - Di Stefano, Alessandro
AU - Giacchi, Evelina
AU - La Corte, Aurelio
AU - Liò, Pietro
PY - 2014/8/30
Y1 - 2014/8/30
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84908877367&partnerID=8YFLogxK
U2 - 10.5220/0005119600410046
DO - 10.5220/0005119600410046
M3 - Conference contribution
AN - SCOPUS:84908877367
T3 - 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
SP - 41
EP - 46
BT - 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
A2 - Obaidat, Mohammad S.
A2 - Holzinger, Andreas
A2 - Sevillano, Jose Luis
A2 - Lorenz, Pascal
PB - SciTePress
T2 - 5th International Conference on Data Communication Networking, DCNET 2014 - Part of 11th International Joint Conference on e-Business and Telecommunications, ICETE 2014
Y2 - 28 August 2014 through 30 August 2014
ER -