A computational trust model for collaborative ventures

Mohd Rosmadi Mokhtar, Weigang Wang

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Problem statement: The conceptual notion of trust and its underlying computational methods has been an important issue for researchers in electronic communities. While the independent trust evaluation is suitable in certain circumstances, such unilateral process falls short in supporting mutual evaluation between partners. Perceived reputation, the depth and breadth of trust, Trust Perception (TP), Repeat Collaborators at a Threshold (RCT) and a collective trust index (c index) have all been defined to specify the optimal trust criteria. Approach: By taking the evaluator's own trust level as a threshold to identify compatible partners, a mutual balance between excess and deficiency in trust has been addressed. Since the number of repeated collaborations which signify retested confidence is more straightforward to capture than the manually provided feedback ratings, we have developed computational definitions for the above-mentioned concepts. Results and Conclusion: The results from the experiments based on the eBay dataset shows that the c index can be used to classify PowerSellers into normally distributed and comprehensible categories that can facilitate mutual evaluation.

Original languageEnglish
Pages (from-to)1531-1540
Number of pages10
JournalJournal of Computer Science
Volume8
Issue number9
DOIs
Publication statusPublished - 2012

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Computational methods
Feedback
Experiments

Keywords

  • C index
  • H index
  • Reputation
  • Trust

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Artificial Intelligence

Cite this

A computational trust model for collaborative ventures. / Mokhtar, Mohd Rosmadi; Wang, Weigang.

In: Journal of Computer Science, Vol. 8, No. 9, 2012, p. 1531-1540.

Research output: Contribution to journalArticle

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