The Study of Social Intelligence in the Type of Virtual Communication and Providing a Communication Model for Social Network Users

Document Type : Original Article

Authors
Farzad Soheili 1
Nazanin Malekian 2
Habib Sabouri Khosroshahi 3
Kamran Yazdanbakhsh 4
1 - Ph.D. student , Department of Communication Sciences, Tehran East Branch, Islamic Azad University, Tehran, Iran
2 Assistant Professor, Department of Communication Sciences, Tehran East Branch, Islamic Azad University, Tehran, Iran
3 Faculty Member, Tehran East Branch, Islamic Azad University, Tehran, Iran
4 Assistant Professor, Department of Psychology, Razi University, Kermanshah, Iran
10.22034/jcsc.2020.83968.1572
Abstract
The emergence of new communication technologies has transformed the structure of interactions and human communications and, by shaping a new kind of interaction, has expanded human communication beyond time and space. Among these new technologies are virtual social networks that today's presence in this space and the interpersonal communication of a virtual type has become an inseparable part of the lives of most people, especially young people. The present study intends to examine the relationship between social intelligence and the type of virtual communication of social networking users. The statistical population of the study is 13442 students studying at Razi University of Kermanshah in the academic year of 1995-96. 375 sample volunteers were selected based on Cochran formula and stratified random sampling. Social intelligence data were collected using Trumsu's standard questionnaire (2001) and data type of virtual communication by researcher-made questionnaire, including validity and reliability. To analyze the findings and exploratory factor analysis, SPSS21 software and the relationship between variables were investigated using Pearson correlation coefficient test and for verifying the relationship between variables in the form of a measurement model, AMOS 21 and structural equations. Based on the results of Pearson correlation coefficient, 95% confidence between social intelligence variables, social information processing, social awareness and social skills with variable type of virtual communication have a meaningful direct and positive relationship. Based on the structural equation model, the social intelligence variable with a coefficient of 0.64 has a relation with the type of virtual communication variable.
Keywords
social intelligence
virtual communication
Type of Virtual Communication
social network users
social networks

  • .

    • Ahn,June.,(2011), The Effect of Social Network Sites on Adolescents’ Social and Academic Development: Current Theories and Controversies. JOURNAL OF THE American  Society For  Information  Science and Technology, 62(8):1435–1445,.Pdf  Version(pp.1-11).
    • Asadi,Mehdi.(2016),The impact of social intelligence of the management on the mental health in the Supreme Audit Court. International Academic Journal of Accounting and Financial,Management,Vol. 3,No.4, pp.34-40.
    • BenYoussef, Adel., BenYoussef, Hamida. (2011). Social Networking on Web 2.0:From Emotional Intelligence to Cyber Emotional Intelligence. Management Information Systems,Vol. 6, No. 2,pp. 021-028.
      • Boyd, D. M., & Ellison, N. B. (2007), “Social network sites: definition, history, and scholarship”, Journal of  Computer-Mediated   Communication, 13(1: 210-230)
      • DeAndrea .D. C. (2014). Advancing Warranting Theory. Advancing.               Communication Theory, 24,(pp.186-204).Retrieved  Pdf  version  from: http://onlinelibrary.wiley.com/doi/10.1111/comt.12033/abstract
      • Donath, Judith.,(2007). Signals in Social Supernets, Journal of Computer-Mediated Communication,(pp.3-7). Retrieved  Pdf  version  from : doi: 10.1111/j.1083-6101.2007.00394.x
      • Dong , Qingwen. Koper,  Randall J  & Collaco,  Christine M.(2008).  Social Intelligence, Self-esteem, and Intercultural Communication Sensitivity. Intercultural Communication Studies XVII: 2, pp.162-165
      • Goleman, D.(2006).Social intelligence: The new science of human relationships. New York: Bantam Book.
      • Laughey, D (2007). Key themes in media theory, McGrow Hill Publications.
      • Wang, J.; Jackson, L.; Wang, H. & Gaskin, J. (2015). Predicting Social Networking Site use: Personality, Attitudes, Motivation and Internet Self-Efficacy. Personality and Individual Differences, 80: 119-124
Cultural Studies & Communication
Volume 16, Issue 58
Spring 2020
Pages 192-219