In this work human factor is explored by means of agent based simulation and analyzed in the framework of a reputation management system (RMS), within a peer-to-peer (P2P) network. Reputation is about evaluating an agent's actions and other agents' opinions about those actions, reporting on those actions and opinions, and reacting to that report, thus creating a feedback loop. This social mechanism has been successfully used to classify agents within normative systems. The systems rely on the feedbacks given by the members of the social network in which the RMS operates. Reputation can thus be seen as an endogenous and self produced indicator, created by the users for the users' benefit. This implies that users' participation and collaboration is a key factor for the effectiveness a RMS. Â© 2010 Elsevier B.V. All rights reserved.
|Titolo:||How users' participation affects reputation management systems: The case of P2P networks|
|Data di pubblicazione:||2010|
|Appare nelle tipologie:||01.01 - Articolo su rivista|