Developing A Method for Estimating Social Network Demand Function with Nonlinear Approach

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.

Ghayuomi Ahmad; FARHANGI ALI AKBAR

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

Journal Paper

Paper Information

Journal: Journal of Communication Research Year:2019 | Volume:26 | Issue:1 (97) Page(s): 207-241

Download Full-Text

Persian Verion

View:

499

Download:

Cites:

Information Journal Paper

Title

Developing A Method for Estimating Social Network Demand Function with Nonlinear Approach

Author(s)

Ghayuomi Ahmad | FARHANGI ALI AKBAR | Issue Writer Certificate

Keywords

Social Networking Demand functionQ1

Interpersonal CommunicationQ1

Nonlinear Logarithmic RegressionQ1

One-dimensional Nonlinear Search AlgorithmQ1

Media EconomicsQ1

Abstract

The study tried to extract Interpersonal Communication demand functions in social networks through review related researches. So that by providing accurate mathematical modeling, it is possible to study users’ behavior in cyberspace and manage potential damage. The analysis unit in the research is social network users. After modeling the method of extracting the demand function in the social media activity environment, in order to examine the feasibility of implementing the proposed method in real space, data was gathered from 621 social network users and then 120 users were selected as a sample after the initial survey. The data needed to implement the proposed model was collected using a researcher-made questionnaire (with acceptable CVR and Spearman coefficient). The method of extraction of demand functions was non-linear logarithmic regression, and One-dimensional Nonlinear Search Algorithm. The findings showed that by combining these two statistical and mathematical methods, it is possible to extract the demand functions for social networks and face-to-face communications.

Cites

No record.

References

No record.

Cite

APA: Copy

Ghayuomi, Ahmad, & FARHANGI, ALI AKBAR. (2019). Developing A Method for Estimating Social Network Demand Function with Nonlinear Approach. JOURNAL OF COMMUNICATION RESEARCH (PAZHOOHESH VA SANJESH), 26(1 (97) ), 207-241. SID. https://sid.ir/paper/152843/en

Vancouver: Copy

Ghayuomi Ahmad, FARHANGI ALI AKBAR. Developing A Method for Estimating Social Network Demand Function with Nonlinear Approach. JOURNAL OF COMMUNICATION RESEARCH (PAZHOOHESH VA SANJESH)[Internet]. 2019;26(1 (97) ):207-241. Available from: https://sid.ir/paper/152843/en

IEEE: Copy

Ahmad Ghayuomi, and ALI AKBAR FARHANGI, “Developing A Method for Estimating Social Network Demand Function with Nonlinear Approach,” JOURNAL OF COMMUNICATION RESEARCH (PAZHOOHESH VA SANJESH), vol. 26, no. 1 (97) , pp. 207–241, 2019, [Online]. Available: https://sid.ir/paper/152843/en

Related Journal Papers