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Measurement Theory-Based Trust Management Framework for Online Social Communities

Authors:

Lina Alfantoukh,

Arjan DurresiAuthors Info & Claims

ACM Transactions on Internet Technology (TOIT), Volume 17, Issue 2

Article No.: 16, Pages 1 - 24

https://doi.org/10.1145/3015771

Published: 24 March 2017 Publication History

Abstract

We propose a trust management framework based on measurement theory to infer indirect trust in online social communities using trust’s transitivity property. Inspired by the similarities between human trust and measurement, we propose a new trust metric, composed of impression and confidence, which captures both trust level and its certainty. Furthermore, based on error propagation theory, we propose a method to compute indirect confidence according to different trust transitivity and aggregation operators. We perform experiments on two real data sets, Epinions.com and Twitter, to validate our framework. Also, we show that inferring indirect trust can connect more pairs of users.

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Published In

cover image ACM Transactions on Internet Technology

ACM Transactions on Internet Technology Volume 17, Issue 2

Special Issue on Advances in Social Computing and Regular Papers

May 2017

249 pages

ISSN:1533-5399

EISSN:1557-6051

DOI:10.1145/3068849

Editor:
Munindar P. Singh
Department of Computer Science, North Carolina State University

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Copyright © 2017 ACM.

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Publication History

Published: 24 March 2017

Accepted: 01 November 2016

Revised: 01 November 2016

Received: 01 February 2016

Published in TOIT Volume 17, Issue 2

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