Detect stable associations in dynamic social networks using influential nodes

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.

Khafaei Taleb; Tavakoli Taraghi Alireza; HOSSEINZADEH MEHDI; REZAEE ALI

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

Journal Paper

Paper Information

Journal: JOURNAL OF COMMUNICATION ENGINEERING Year:2022 | Volume:11 | Issue:43 Page(s): 39-47

Download Full-Text

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

Persian Verion

View:

464

Download:

Cites:

Information Journal Paper

Title

Detect stable associations in dynamic social networks using influential nodes

Author(s)

Khafaei Taleb | Tavakoli Taraghi Alireza | HOSSEINZADEH MEHDI | REZAEE ALI | Issue Writer Certificate

Keywords

Social Networks

Forums

Important Nodes

Sentrality Criteria

Sustainable forums

Abstract

Today, Social Networks have found many applications in human daily life, so that identifying the behavior of members of this type of networks and the associations within them is of particular importance. Due to the structure and communication between members of Social Networks, some members within this type of network have more important roles than other members. In this study, a method for identifying more important associations was discussed. For this purpose, new features were introduced using network centralization features and then the importance of this type of features was investigated by Rough set theory. The experimental results showed that with increasing the number of popular nodes among an association introduced in this study and at the same time decreasing the amount of density, intermediate and proximity characteristics, the effect of the number of popular nodes on the association will remain more evident.

Cites

No record.

References

No record.

Cite

APA: Copy

Khafaei, Taleb, Tavakoli Taraghi, Alireza, HOSSEINZADEH, MEHDI, & REZAEE, ALI. (2022). Detect stable associations in dynamic social networks using influential nodes. JOURNAL OF COMMUNICATION ENGINEERING, 11(43 ), 39-47. SID. https://sid.ir/paper/963724/en

Vancouver: Copy

Khafaei Taleb, Tavakoli Taraghi Alireza, HOSSEINZADEH MEHDI, REZAEE ALI. Detect stable associations in dynamic social networks using influential nodes. JOURNAL OF COMMUNICATION ENGINEERING[Internet]. 2022;11(43 ):39-47. Available from: https://sid.ir/paper/963724/en

IEEE: Copy

Taleb Khafaei, Alireza Tavakoli Taraghi, MEHDI HOSSEINZADEH, and ALI REZAEE, “Detect stable associations in dynamic social networks using influential nodes,” JOURNAL OF COMMUNICATION ENGINEERING, vol. 11, no. 43 , pp. 39–47, 2022, [Online]. Available: https://sid.ir/paper/963724/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops