Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)

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Prediction and Analysis of the Social Network Structure of Financial Institutions Based on the Dissemination of Public Opinion

Authors
Lingyi Li1, *, Yuejiang Peng1
1School of Computer Science and Engineering, Sun Yat-Sen University, Guangdong, China
*Corresponding author. Email: leialy2001@163.com
Corresponding Author
Lingyi Li
Available Online 10 August 2023.
DOI
10.2991/978-94-6463-198-2_30How to use a DOI?
Keywords
Public opinion dissemination; financial institutions; social network prediction method; online emergencies
Abstract

Along with the rapid development of the Internet in China, the Internet has become an important and indispensable component of our modern life. At the same time, with the rapid and vigorous economic and social development after the reform and opening up, we have to admit that it has also brought some negative impacts, and the frequent emergence of financial emergencies on the Internet has made the network emergencies on the Internet a problem that cannot be ignored and needs to be solved. This paper collects information dissemination data of the “e-Speed Loan” online emergency as the basis of empirical research, and uses social network analysis to study the dissemination of public opinion after the occurrence of the financial institution's reputation security online emergency. In terms of practical significance, we can grasp the characteristics of online public opinion in the process of dissemination, provide countermeasures and suggestions for solving online emergencies, and provide reference significance for the handling of online emergencies.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
10 August 2023
ISBN
10.2991/978-94-6463-198-2_30
ISSN
2589-4900
DOI
10.2991/978-94-6463-198-2_30How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Lingyi Li
AU  - Yuejiang Peng
PY  - 2023
DA  - 2023/08/10
TI  - Prediction and Analysis of the Social Network Structure of Financial Institutions Based on the Dissemination of Public Opinion
BT  - Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
PB  - Atlantis Press
SP  - 270
EP  - 277
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-198-2_30
DO  - 10.2991/978-94-6463-198-2_30
ID  - Li2023
ER  -