Evolution of Credit Scores of Enterprises in a Social Network: A Perspective Based on Opinion Dynamics

Liang, H; Xu, W; Chiclana, F; Yu, S; Dong, Y; Herrera-Viedma, EE

Evolution of Credit Scores of Enterprises in a Social Network: A Perspective Based on Opinion Dynamics

Liang, H Xu, W Chiclana, F Yu, S

Dong, Y Herrera-Viedma, EE

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Transactions on Computational Social Systems, 2024, 11, (3), pp. 3637-3651
Issue Date:: 2024-06-01

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Field	Value	Language
dc.contributor.author	Liang, H
dc.contributor.author	Xu, W
dc.contributor.author	Chiclana, F
dc.contributor.author	Yu, S https://orcid.org/0000-0003-4485-6743
dc.contributor.author	Dong, Y
dc.contributor.author	Herrera-Viedma, EE
dc.date.accessioned	2024-08-21T05:36:26Z
dc.date.available	2024-08-21T05:36:26Z
dc.date.issued	2024-06-01
dc.identifier.citation	IEEE Transactions on Computational Social Systems, 2024, 11, (3), pp. 3637-3651
dc.identifier.issn	2329-924X
dc.identifier.issn	2329-924X
dc.identifier.uri	http://hdl.handle.net/10453/180493
dc.description.abstract	The use of social network to model the evolution of credit scores of networked enterprises is still a challenging task. This article develops an opinion dynamics model of the evolution of credit scores of enterprises in a social network. Firstly, based on the number of potential cooperated enterprises and the initial credit scores, the leader and follower enterprises are identified. Then, taking into consideration the cooperated benefit and discrimination cost, the cooperated utility between any two enterprises is calculated, which is used to compute the weights that one enterprise assigns to other enterprises. An opinion dynamics model on the evolution of credit scores of enterprises, inspired on the classical Friedkin-Johnsen's social network model, is developed. Some desirable properties of the proposed opinion dynamics model are theoretically stated and proved. Finally, a numerical example is provided to illustrate the feasibility of the proposed opinion dynamics model, while a simulation analysis to investigate the joint influences of the connection probabilities and the network structure on the evolution of credit scores of enterprises is reported.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE Transactions on Computational Social Systems
dc.relation.isbasedon	10.1109/TCSS.2023.3324558
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Evolution of Credit Scores of Enterprises in a Social Network: A Perspective Based on Opinion Dynamics
dc.type	Journal Article
utslib.citation.volume	11
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	University of Technology Sydney/Strength - CCSP - Centre for Cyber Security and Privacy
pubs.organisational-group	University of Technology Sydney/All Manual Groups
pubs.organisational-group	University of Technology Sydney/All Manual Groups/Centre for Cyber Security and Privacy (CCSP)
utslib.copyright.status	closed_access	*
dc.date.updated	2024-08-21T05:36:16Z
pubs.issue	3
pubs.publication-status	Published
pubs.volume	11
utslib.citation.issue	3

Abstract:

The use of social network to model the evolution of credit scores of networked enterprises is still a challenging task. This article develops an opinion dynamics model of the evolution of credit scores of enterprises in a social network. Firstly, based on the number of potential cooperated enterprises and the initial credit scores, the leader and follower enterprises are identified. Then, taking into consideration the cooperated benefit and discrimination cost, the cooperated utility between any two enterprises is calculated, which is used to compute the weights that one enterprise assigns to other enterprises. An opinion dynamics model on the evolution of credit scores of enterprises, inspired on the classical Friedkin-Johnsen's social network model, is developed. Some desirable properties of the proposed opinion dynamics model are theoretically stated and proved. Finally, a numerical example is provided to illustrate the feasibility of the proposed opinion dynamics model, while a simulation analysis to investigate the joint influences of the connection probabilities and the network structure on the evolution of credit scores of enterprises is reported.

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http://hdl.handle.net/10453/180493