Login | Register

A game theoretical approach for reputation propagation in online social networks

Title:

A game theoretical approach for reputation propagation in online social networks

Gomrokchi, Maziar (2010) A game theoretical approach for reputation propagation in online social networks. Masters thesis, Concordia University.

[thumbnail of MR71086.pdf]
Preview
Text (application/pdf)
MR71086.pdf - Accepted Version
2MB

Abstract

Formation of mutual trust between users of an Online Social Network (OSN ) is a function of many parameters. One of these parameters that has been widely investigated is the reputation of users. Users interact with each other with different intentions and as a result of their interactions they propagate each other's reputation. In the absence of centralized trusted parties in OSN s, the only way for an agent to estimate others' reputation is the other agents' thoughts about that agent. Therefore, intention and behavior of agents in the propagation of each other's reputation become crucial. In this thesis, we propose a game theoretic model of reputation propagation among users in OSN s. We use this model to first study the dynamics of propagation and then analyze users' behavior with respect to their reputation in the network. To do so, we expose the Nash equilibria of the proposed game. Finally, we develop some experiments on the large-scale social network of Epinons and compare our findings in the theoretical part with the observations from the experiments.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Computer Science and Software Engineering
Item Type:Thesis (Masters)
Authors:Gomrokchi, Maziar
Pagination:ix, 54 leaves : ill. ; 29 cm.
Institution:Concordia University
Degree Name:M. Comp. Sc.
Program:Computer Science and Software Engineering
Date:2010
Thesis Supervisor(s):Bentahar, J
Identification Number:LE 3 C66C67M 2010 G66
ID Code:979524
Deposited By: Concordia University Library
Deposited On:09 Dec 2014 18:01
Last Modified:13 Jul 2020 20:12
Related URLs:
All items in Spectrum are protected by copyright, with all rights reserved. The use of items is governed by Spectrum's terms of access.

Repository Staff Only: item control page

Downloads per month over past year

Research related to the current document (at the CORE website)
- Research related to the current document (at the CORE website)
Back to top Back to top