Identifying Influential Users in Social Networks with an Extended Hybrid Global Structure Model

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Esfandiari Shima; FAKHRAHMAD SEYED MOSTAFA

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2024 | Issue:10

Download Full-Text

View:

Download:

Information Seminar Paper

Title

Identifying Influential Users in Social Networks with an Extended Hybrid Global Structure Model

Author(s)

Esfandiari Shima | FAKHRAHMAD SEYED MOSTAFA

Keywords

Influential Nodes

K-Shell

Degree

SIR

HGSM

Social Networks

Abstract

With the widespread use of social media, communication, and news dissemination have become faster and more extensive. Therefore, identifying key individuals in controlling rumors is of great importance. Researchers have employed various methods to identify these individuals, each with its advantages and disadvantages. Some methods lack accuracy and do not adequately identify the influence of each individual. Others have low resolution, meaning they consider many individuals to be equally influential and do not differentiate between them. In this paper, we propose a comprehensive method based on the Degree and K-Shell, which improves upon the Hybrid global structure model (HGSM) method. According to the evaluations performed on five Social Networks, the proposed method has higher accuracy and resolution compared to recent methods, while also having a suitable time complexity. The real influence of each individual is calculated using the Susceptible-Infected-Recovered (SIR) model and the evaluation criteria are Kendall's Tau, Monotonicity index, and Time complexity.

Cites

No record.

References

No record.

Cite

APA: Copy

Esfandiari, Shima, & FAKHRAHMAD, SEYED MOSTAFA. (2024). Identifying Influential Users in Social Networks with an Extended Hybrid Global Structure Model. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/1147658/en

Vancouver: Copy

Esfandiari Shima, FAKHRAHMAD SEYED MOSTAFA. Identifying Influential Users in Social Networks with an Extended Hybrid Global Structure Model. 2024. Available from: https://sid.ir/paper/1147658/en

IEEE: Copy

Shima Esfandiari, and SEYED MOSTAFA FAKHRAHMAD, “Identifying Influential Users in Social Networks with an Extended Hybrid Global Structure Model,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2024, [Online]. Available: https://sid.ir/paper/1147658/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops