Modifying trust dynamics through cooperation and defection in evolving social networks

L. Allodi, L. Chiodi, M. Cremonini

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)

Abstract

We present a model of social network that shows a dynamic emergent behavior simulating actors that exchange knowledge based on their preferences, expertise and friendship relations. The network presents a stochastic interaction behavior that tends to create communities, driven by the assortative mixing and triadic closures. Our first research goal is to investigate the features driving the formation of communities and their characteristics under different configurations of the network. In particular we focus on trust which we analyze qualitatively as dependent on the frequency and pattern of interactions. To this aim, we ran simulations of different network configurations and analyzed the resulting statistics. The second research goal is to study the effects of node deception and cooperation on the social network behavior; our primary metric is trust and we evaluated how, under specific conditions, it is possible to manipulate trust in some non trivial ways.

Original languageEnglish
Title of host publicationTrust and Trustworthy Computing - 4th International Conference, TRUST 2011, Proceedings
Pages131-145
Number of pages15
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event4th International Conference on Trust and Trustworthy Computing, TRUST 2011 - Pittsburgh, PA, United States
Duration: 22 Jun 201124 Jun 2011

Publication series

NameLecture Notes in Computer Science
Volume6740
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference4th International Conference on Trust and Trustworthy Computing, TRUST 2011
CountryUnited States
CityPittsburgh, PA
Period22/06/1124/06/11

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