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.
Self-organizing techniques for knowledge diffusion in dynamic social networks / L. Allodi, L. Chiodi, M. Cremonini - 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.
|Titolo:||Self-organizing techniques for knowledge diffusion in dynamic social networks|
CREMONINI, MARCO (Corresponding)
|Parole Chiave:||Social network analysis; Multi-agent system; Knowledge diffusion|
|Settore Scientifico Disciplinare:||Settore INF/01 - Informatica|
|Data di pubblicazione:||2014|
|Enti collegati al convegno:||Università degli studi di Bologna|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1007/978-3-319-05401-8_8|
|Tipologia:||Book Part (author)|
|Appare nelle tipologie:||03 - Contributo in volume|