Expressing Trust with Temporal Frequency of User Interaction in Online Communities

Ekaterina Yashkina; Arseny Pinigin; Joo Young Lee; Manuel Mazzara; Akinlolu Solomon Adekotujo; Adam Zubair; Luca Longo

doi:10.1007/978-3-030-15032-7_95

Expressing Trust with Temporal Frequency of User Interaction in Online Communities

Ekaterina Yashkina, Arseny Pinigin, Joo Young Lee, Manuel Mazzara, Akinlolu Solomon Adekotujo, Adam Zubair, Luca Longo

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Advanced Information Networking and Applications - Proceedings of the 33rd International Conference on Advanced Information Networking and Applications AINA-2019
Editors	Tomoya Enokido, Leonard Barolli, Fatos Xhafa, Makoto Takizawa
Publisher	Springer Verlag
Pages	1133-1146
Number of pages	14
ISBN (Print)	9783030150310
DOIs	https://doi.org/10.1007/978-3-030-15032-7_95 https://doi.org/10.48550/arxiv.1903.05981
Publication status	Published - 2019
Event	33rd International Conference on Advanced Information Networking and Applications, AINA-2019 - Matsue, Japan Duration: 27 Mar 2019 → 29 Mar 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	926
ISSN (Print)	2194-5357

Conference

Conference	33rd International Conference on Advanced Information Networking and Applications, AINA-2019
Country/Territory	Japan
City	Matsue
Period	27/03/19 → 29/03/19

Keywords

Computational trust
Online communities
Reputation management
Social media
Social networks

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Yashkina, E., Pinigin, A., Lee, J. Y., Mazzara, M., Adekotujo, A. S., Zubair, A., & Longo, L. (2019). Expressing Trust with Temporal Frequency of User Interaction in Online Communities. In T. Enokido, L. Barolli, F. Xhafa, & M. Takizawa (Eds.), Advanced Information Networking and Applications - Proceedings of the 33rd International Conference on Advanced Information Networking and Applications AINA-2019 (pp. 1133-1146). (Advances in Intelligent Systems and Computing; Vol. 926). Springer Verlag. https://doi.org/10.1007/978-3-030-15032-7_95, https://doi.org/10.48550/arxiv.1903.05981

Yashkina, Ekaterina ; Pinigin, Arseny ; Lee, Joo Young et al. / Expressing Trust with Temporal Frequency of User Interaction in Online Communities. Advanced Information Networking and Applications - Proceedings of the 33rd International Conference on Advanced Information Networking and Applications AINA-2019. editor / Tomoya Enokido ; Leonard Barolli ; Fatos Xhafa ; Makoto Takizawa. Springer Verlag, 2019. pp. 1133-1146 (Advances in Intelligent Systems and Computing).

@inproceedings{0c97371fa972413ab2e1bf147259c74a,

title = "Expressing Trust with Temporal Frequency of User Interaction in Online Communities",

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.",

keywords = "Computational trust, Online communities, Reputation management, Social media, Social networks",

author = "Ekaterina Yashkina and Arseny Pinigin and Lee, {Joo Young} and Manuel Mazzara and Adekotujo, {Akinlolu Solomon} and Adam Zubair and Luca Longo",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 33rd International Conference on Advanced Information Networking and Applications, AINA-2019 ; Conference date: 27-03-2019 Through 29-03-2019",

year = "2019",

doi = "10.1007/978-3-030-15032-7_95",

language = "English",

isbn = "9783030150310",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "1133--1146",

editor = "Tomoya Enokido and Leonard Barolli and Fatos Xhafa and Makoto Takizawa",

booktitle = "Advanced Information Networking and Applications - Proceedings of the 33rd International Conference on Advanced Information Networking and Applications AINA-2019",

address = "Germany",

}

Yashkina, E, Pinigin, A, Lee, JY, Mazzara, M, Adekotujo, AS, Zubair, A & Longo, L 2019, Expressing Trust with Temporal Frequency of User Interaction in Online Communities. in T Enokido, L Barolli, F Xhafa & M Takizawa (eds), Advanced Information Networking and Applications - Proceedings of the 33rd International Conference on Advanced Information Networking and Applications AINA-2019. Advances in Intelligent Systems and Computing, vol. 926, Springer Verlag, pp. 1133-1146, 33rd International Conference on Advanced Information Networking and Applications, AINA-2019, Matsue, Japan, 27/03/19. https://doi.org/10.1007/978-3-030-15032-7_95, https://doi.org/10.48550/arxiv.1903.05981

Expressing Trust with Temporal Frequency of User Interaction in Online Communities. / Yashkina, Ekaterina; Pinigin, Arseny; Lee, Joo Young et al.
Advanced Information Networking and Applications - Proceedings of the 33rd International Conference on Advanced Information Networking and Applications AINA-2019. ed. / Tomoya Enokido; Leonard Barolli; Fatos Xhafa; Makoto Takizawa. Springer Verlag, 2019. p. 1133-1146 (Advances in Intelligent Systems and Computing; Vol. 926).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Expressing Trust with Temporal Frequency of User Interaction in Online Communities

AU - Yashkina, Ekaterina

AU - Pinigin, Arseny

AU - Lee, Joo Young

AU - Mazzara, Manuel

AU - Adekotujo, Akinlolu Solomon

AU - Zubair, Adam

AU - Longo, Luca

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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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KW - Online communities

KW - Reputation management

KW - Social media

KW - Social networks

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DO - 10.1007/978-3-030-15032-7_95

M3 - Conference contribution

AN - SCOPUS:85064009355

SN - 9783030150310

T3 - Advances in Intelligent Systems and Computing

SP - 1133

EP - 1146

BT - Advanced Information Networking and Applications - Proceedings of the 33rd International Conference on Advanced Information Networking and Applications AINA-2019

A2 - Enokido, Tomoya

A2 - Barolli, Leonard

A2 - Xhafa, Fatos

A2 - Takizawa, Makoto

PB - Springer Verlag

T2 - 33rd International Conference on Advanced Information Networking and Applications, AINA-2019

Y2 - 27 March 2019 through 29 March 2019

ER -

Yashkina E, Pinigin A, Lee JY, Mazzara M, Adekotujo AS, Zubair A et al. Expressing Trust with Temporal Frequency of User Interaction in Online Communities. In Enokido T, Barolli L, Xhafa F, Takizawa M, editors, Advanced Information Networking and Applications - Proceedings of the 33rd International Conference on Advanced Information Networking and Applications AINA-2019. Springer Verlag. 2019. p. 1133-1146. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-15032-7_95, 10.48550/arxiv.1903.05981

Expressing Trust with Temporal Frequency of User Interaction in Online Communities

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