Analysis of social network metrics based on the model of random recursive tree

Kumar, Sanjay; Bhat, Neeraj; Panda, B. S.

doi:10.1080/09720502.2020.1721716

Journal of Interdisciplinary Mathematics

2020

DOI: 10.1080/09720502.2020.1721716

|View full text |Cite

Analysis of social network metrics based on the model of random recursive tree

Sanjay Kumar

Neeraj Bhat

B. S. Panda

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2022

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Accounting information quality detection method of listed companies based on mobile social network interaction model

Lun¹

2022

JCM

View full text Add to dashboard Cite

The existing quality of accounting information detection methods have large errors and cannot meet the needs of listed companies. Therefore, this paper presents a study on the accounting information quality detection methods of listed companies based on the mobile social network interaction model. The interactive model to obtain accounting information of listed companies based on mobile social network, select accounting information quality detection index, construct the accounting information quality detection index system; Determine the weight of accounting information quality detection index by hierarchical analysis method; construct a panel model based on detection index weight to realize the quality detection of accounting information of listed companies. The experimental results show that the accounting information quality detection error of this method is 0.10%–0.31%. It reduces detection error, improves detection accuracy, has good application performance, and is suitable for the promotion and application of accounting information quality detection.

show abstract

Accounting information quality detection method of listed companies based on mobile social network interaction model

Lun¹

2022

JCM

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Analysis of social network metrics based on the model of random recursive tree

Cited by 1 publication

References 13 publications

Accounting information quality detection method of listed companies based on mobile social network interaction model

Accounting information quality detection method of listed companies based on mobile social network interaction model

Contact Info

Product

Resources

About