News Science Quarterly (NS)

News Science Quarterly (NS)

Interpretive Structural Modeling of Social Networks and Mobile Messengers Indicator’s for the Development of Internet of People (IoP) in Iran

Document Type : Original Article

Authors
Saeideh Bandegi Monfared 1
Omid Ali Masoudi 2
Mehran Samadi 3
Samad Abedini 4
1 Ph.D. Candidate, in Department of in Social Communication Sciences, Tabriz Branch, Islamic Azad University, Tabriz, Iran. Email: s.monfared@iau.ac.ir
2 Corresponding author, Professor, in Department of Social Communication Sciences, Faculty of Culture and Communication, Soore International University, Tehran, Iran. Email: masoudi@soore.ac.ir
3 Assistant Professor in Department of Social Communication Sciences, Tabriz Branch, Islamic Azad University, Tabriz, Iran. Email: m_samadi426@yahoo.com
4 Assistant Professor in Department of Sociology, Khalkhal Branch, Islamic Azad University, Khalkhal, Iran. Email: abedinisamad@gmail.com
10.22034/lrsi.2025.504526.1319
Abstract
Objective: The purpose of the present study was the interpretive structural modeling indicators of social networks and mobile messengers for the development of the Internet of People (IoP) in Iran. This study is based on the practical goal and from the perspective of the method, it is in the field of mixed studies with the inductive-deductive approach. Identifying indicators of social networks and mobile messengers for the development of the Internet of People (IoP) was done through semi-structured interviews based on theoretical saturation with professors in information and communication technology and social sciences.
Methods: The validity and reliability of the interviews were confirmed by the method of relative content validity and Cohen's kappa index, respectively. To model the indicators of social networks and mobile messengers for the development of the internet of people from the opinions of experts, responsible experts, heads of departments, deputies, and high-ranking managers of the Cyber ​​Space Council and executive bodies in the field of space in the number of 63 people with a targeted sampling method. And was used with the help of a questionnaire. The validity and reliability of the questionnaire were confirmed using content validity and the test-post-test method. Coding the resulting data using the MaxQda 2020 software led to the identification of 14 indicators of social networks and mobile messengers for the development of the Internet of People.
Results: Modeling of identified factors with an interpretative structural method led to the formation of six levels, where data privacy and security concerns, upstream documents and digital literacy were the most effective factors, and empowerment through IoP cooperation was the most impressionable factor.
Keywords
Internet of People (IoP)
Social Networks
Mobile Messengers
Supreme Council of Cyberspace
 
References
Akan, O. B., Dinc, E., Kuscu, M., Cetinkaya, O., & Bilgin, B. A. (2023). Internet of Everything (IoE): From molecules to the universe. IEEE Communications Magazine, 61(10), 122-128.
Aichner, T., Grünfelder, M., Maurer, O., & Jegeni, D. (2021). Twenty-five years of social media: A review of social media applications and definitions from 1994 to 2019. Cyberpsychology, Behavior, and Social Networking, 24(4), 215-222.
Bakhshi Zadeh Borj, K., Khadem Hosseini, R., & Bashirpour, M. (2021). Comparison of the mental maps of users of domestic and foreign messengers. Journal of New Media Studies, 7(25), 257–296. (In Persian)
Boyd, D. M., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer‐Mediated Communication, 13(1), 210-230.
Grinter, R. E., & Palen, L. (2002). Instant messaging in teen life. In Proceedings of the 2002 ACM Conference on Computer Supported Cooperative Work (pp. 21-30). ACM.
Hajihashemi Abad, A. (2022). Smart city development using Internet of People (IoP). [Unpublished manuscript or conference paper; further bibliographic details required]. (In Persian)
Hsien Hsu, C. (2016). The Internet of People and situational computing. Personal and Ubiquitous Computing, 20, 847–849. https://doi.org/10.1007/s00779-016-0957-1
Kabiri Yeganeh, M. R. (2022). The connection between human and technology in the Internet of People. Paper presented at the Side Event of Asr Omid Exhibition, National Ghadam-e-Dovvom Conference, Islamic Azad University. (In Persian)
Karimi Rahjerdi, A., Ghavam, A., Kharazi Azar, R., & Granmayepour, A. (2019). The role of virtual social networks and mobile messengers in the formation of collective intelligence. Journal of New Media Studies, 5(17), 1–34. (In Persian)
Kovalenko, V., & Boryachuk, V. (2020). Electronic social networks as a tool for supporting the educational process in higher education institutions. Kyiv, Ukraine: NAES Institute of Information Technology and Learning Tools.
Liang, X., Lu, Y., & Martin, J. (2021). A review of the role of social media for cultural heritage sustainability. Sustainability, 13(3), 1055. https://doi.org/10.3390/su13031055
Mohammadi, J., & Razipour, P. (2022). Social networks and types of collective functions: A case study of Instagram. Journal of New Media Studies, 8(29), 75–108. (In Persian)
Serfass, D. G., & Sherman, R. A. (2013). A methodological note on ordered Q-Sort ratings. Journal of Research in Personality, 47(6), 853-858.
Shi, F., Wang, W., Wang, H., & Ning, H. (2021). The Internet of People: A survey and tutorial. arXiv preprint arXiv:2104.04079.
Tang, V. W. (2017). Wisdom of crowds: Cross-sectional variation in the informativeness of third-party-generated product information on Twitter. Journal of Accounting, 56(3), 989-1034.