Self-organizing techniques for knowledge diffusion in dynamic social networks
Contributo in Atti di convegno
Data di Pubblicazione:
2014
Citazione:
Self-organizing techniques for knowledge diffusion in dynamic social networks / L. Allodi, L. Chiodi, M. Cremonini (STUDIES IN COMPUTATIONAL INTELLIGENCE). - In: Complex networks / [a cura di] P. Contucci, R. Menezes, A. Omicini, J. Poncela-Casasnovas. - Cham : Springer, 2014. - ISBN 978-3-319-05400-1. - pp. 75-86 (( Intervento presentato al 5. convegno International Workshop on Complex Networks (CompleNet) tenutosi a Bologna nel 2014 [10.1007/978-3-319-05401-8_8].
Abstract:
In this paper, we model a knowledge diffusion process in a dynamic social
network and study two different techniques for self-organization aimed at improving the average knowledge owned by agents and the overall knowledge diffusion within the network. One is a weak self-organization technique requiring a system-level central
control, while the other is a strong self-organization technique that each agent exploits based on local information only. The two techniques are aimed at increasing the knowledge diffusion by mitigating the hype effect and the network congestion that the system dynamics shows systematically. Results of simulations are analyzed
for different configurations, discussing how the improvements in knowledge diffusion are influenced by the emergent network topology and the dynamics produced by interacting agents. Our theoretical results, while preliminary, may have practical implications in contexts where the polarization of interests in a community is critical.
Tipologia IRIS:
03 - Contributo in volume
Keywords:
Social network analysis; Multi-agent system; Knowledge diffusion
Elenco autori:
L. Allodi, L. Chiodi, M. Cremonini
Link alla scheda completa:
Titolo del libro:
Complex networks