A Multi-objective Algorithm for Identifying Influential Nodes in Social Networks

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.

Salavati Ch.; Abdollahpouri A.; Manbari Zh.

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

Journal Paper

Paper Information

Journal: TABRIZ JOURNAL OF ELECTRICAL ENGINEERING Year:2020 | Volume:50 | Issue:3 (93) Page(s): 1293-1304

Download Full-Text

Persian Verion

View:

167

Download:

Cites:

Information Journal Paper

Title

A Multi-objective Algorithm for Identifying Influential Nodes in Social Networks

Author(s)

Salavati Ch. | Abdollahpouri A. | Manbari Zh. | Issue Writer Certificate

Keywords

Social networks

influential nodes

multi-objective optimization

Pareto front

genetic algorithm

SIR model

Abstract

With the expansion of Social networks, relationship between people has taken a new form. One of the important issues in Social networks is social influence. Research on social influences and how information is disseminated in Social networks, indicates that accepting or rejecting a new pattern by a person depends on the acceptance or rejection of the friends of that person. That is, because the people usually trust their friends more than other sources of advertising. As a result, many companies are focused on this type of advertisement which is called viral marketing. Given a large number of users in a social network, selecting the most influential users as target users, through which a company can reach the highest expansion in the network with the lowest cost, is of great importance. In this paper, a new method for identifying the influential nodes in Social networks is proposed which is called MOSI (Multi-Objective algorithm based on Structured Information). The proposed method has two goals: "maximize profit" and "minimize similarity among selected users". The evaluation of the proposed method on real datasets indicates that our method has a greater expansion power in comparison with other similar methods.

Cites

No record.

References

No record.

Cite

APA: Copy

Salavati, Ch., Abdollahpouri, A., & Manbari, Zh.. (2020). A Multi-objective Algorithm for Identifying Influential Nodes in Social Networks. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, 50(3 (93) ), 1293-1304. SID. https://sid.ir/paper/957237/en

Vancouver: Copy

Salavati Ch., Abdollahpouri A., Manbari Zh.. A Multi-objective Algorithm for Identifying Influential Nodes in Social Networks. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2020;50(3 (93) ):1293-1304. Available from: https://sid.ir/paper/957237/en

IEEE: Copy

Ch. Salavati, A. Abdollahpouri, and Zh. Manbari, “A Multi-objective Algorithm for Identifying Influential Nodes in Social Networks,” TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, vol. 50, no. 3 (93) , pp. 1293–1304, 2020, [Online]. Available: https://sid.ir/paper/957237/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops