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Expressing Trust with Temporal Frequency of User Interaction in Online Communities

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Advanced Information Networking and Applications (AINA 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 926))

Abstract

Reputation systems concern soft security dynamics in diverse areas. Trust dynamics in a reputation system should be stable and adaptable at the same time to serve the purpose. Many reputation mechanisms have been proposed and tested over time. However, the main drawback of reputation management is that users need to share private information to gain trust in a system such as phone numbers, reviews, and ratings. Recently, a novel model that tries to overcome this issue was presented: the Dynamic Interaction-based Reputation Model (DIBRM). This approach to trust considers only implicit information automatically deduced from the interactions of users within an online community. In this primary research study, the Reddit and MathOverflow online social communities have been selected for testing DIBRM. Results show how this novel approach to trust can mimic behaviors of the selected reputation systems, namely Reddit and MathOverflow, only with temporal information.

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Notes

  1. 1.

    https://en.wikipedia.org/wiki/Wikipedia:Barnstars.

  2. 2.

    https://stackoverflow.com/.

  3. 3.

    https://www.reddit.com/.

  4. 4.

    https://mathoverflow.net/.

  5. 5.

    https://archive.org/details/stackexchange.

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Author information

Authors and Affiliations

  1. Innopolis University, Innopolis, Russia

    Ekaterina Yashkina, Arseny Pinigin, JooYoung Lee & Manuel Mazzara

  2. Lagos State University, Ojo, Nigeria

    Akinlolu Solomon Adekotujo & Adam Zubair

  3. School of Computer Science, Technological University Dublin, Dublin, Republic of Ireland

    Luca Longo

Authors
  1. Ekaterina Yashkina
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  2. Arseny Pinigin
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  3. JooYoung Lee
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  4. Manuel Mazzara
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  5. Akinlolu Solomon Adekotujo
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  6. Adam Zubair
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  7. Luca Longo
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Corresponding author

Correspondence to Luca Longo .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Advanced Sciences, Hosei University, Koganei-Shi, Tokyo, Japan

    Makoto Takizawa

  3. Department of Computer Science, Technical University of Catalonia, Barcelona, Barcelona, Spain

    Fatos Xhafa

  4. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

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Yashkina, E. et al. (2020). Expressing Trust with Temporal Frequency of User Interaction in Online Communities. In: Barolli, L., Takizawa, M., Xhafa, F., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2019. Advances in Intelligent Systems and Computing, vol 926. Springer, Cham. https://doi.org/10.1007/978-3-030-15032-7_95

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