Title: Network size and topology impact on trust-based ranking

Authors: Vincenza Carchiolo; Alessandro Longheu; Michele Malgeri; Giuseppe Mangioni

Addresses: Dipartimento di Ingegneria Elettrica Elettronica e Informatica, Universitá degli Studi di Catania, Italy ' Dipartimento di Ingegneria Elettrica Elettronica e Informatica, Universitá degli Studi di Catania, Italy ' Dipartimento di Ingegneria Elettrica Elettronica e Informatica, Universitá degli Studi di Catania, Italy ' Dipartimento di Ingegneria Elettrica Elettronica e Informatica, Universitá degli Studi di Catania, Italy

Abstract: The participation to virtual contexts has been increased during the last decade. Trust is often used in such a scenario as a mechanism to establish reliable relationships. In addition, trust is often used to rank nodes in a network and the higher the rank the more preferred that node will be, therefore each node aims at getting a better position. Since a proper trade-off between the desired position and the related cost should be achieved, in this paper we analyse the rank-vs-cost function in trust networks, considering different topologies and different number of nodes. Results show that if we look for the first position (best rank), the effort is independent on network size for all topologies but scale-free, where costs increases strongly. Moreover, if we accept to achieve a good position, i.e., within the first 5% or 10% of nodes, all networks exhibit similar behaviour for any sizes.

Keywords: trust; complex network; scale-free networks; random networks; ranking; reputation systems; recommendation systems; trust metrics; collaborative filtering; security.

DOI: 10.1504/IJBIC.2017.085899

International Journal of Bio-Inspired Computation, 2017 Vol.10 No.2, pp.119 - 126

Received: 18 Nov 2014
Accepted: 25 Nov 2015
Published online: 18 Aug 2017 *

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