• ISSN: 2010-023X (Print)
    • Abbreviated Title: Int. J. Trade, Economics and Financ.
    • Frequency: Quaterly
    • DOI: 10.18178/IJTEF
    • Editor-in-Chief: Prof.Tung-Zong (Donald) Chang
    • Managing Editor: Ms. Shira. W. Lu
    • Abstracting/ Indexing:  Crossref, Electronic Journals Library , EBSCO
    • E-mail: ijtef.editorial.office@gmail.com
HOME > Archive > 2022 > Volume 13 Number 6 (Dec. 2022) >
IJTEF 2022 Vol.13(6): 187-193 ISSN: 2010-023X
DOI: 10.18178/ijtef.2022.13.6.744

Reputation: Probability Distributions, Prediction and Simulation

Peter Mitic

Abstract—The economic significance of reputation in the context of a proposed distribution of reputation scores is discussed. Proposals are made to use the distributional properties of reputation for prediction and simulation. A method of expressing reputation numerically is presented as a weighted average of sentiment scores derived from multiple contents within a given time window. Given a sufficiently extensive reputation time series, averaging induces a marked clustering near to a modal value. The proposed bi-exponential distribution models this clustering better than other candidate distributions. The economic effects of a specific reputational shock is examined to illustrate both its severity, persistence and subsequent consequences.

Index Terms—Reputation, probability distribution, simulation, goodness-of-fit, biexponential.

P. Mitic is with the Dept. of Computer Science, University College London, Gower Street, London WC1E 6BT (e-mail: p.mitic@ucl.ac.uk).

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Cite: Peter Mitic, "Reputation: Probability Distributions, Prediction and  Simulation," International Journal of Trade, Economics and Finance vol.13, no.6, pp. 87-193, 2022.

Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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