Introduction: The extent of internet use broadly influences the different aspects of life. Also, the cognitive, emotional, and environmental factors affect the internet dependency.
Objectives: Severe internet dependency creates a disorder, therefore, this study aimed to investigate the relationship between social support and internet addiction in nursing students, considering the mediating role of alexithymia.
Materials and Methods: It was a descriptive-correlational study based on structural equation modeling and specific regression equation. A total number of 361 nursing students (178 females and 183 males) were selected with the random sampling method, in Gorgan City, Iran, from October to November 2018. The participants filled the Zimet et al. (1988) social support scale, the Toronto Alexithymia Scale, and the Young (1996) internet addiction scale. Then, the collected data were analyzed with the regression structural equation modeling, in SPSS-18 and Amos-23 software programs.
Results: The regression equations showed a direct effect of social support on internet addiction and an indirect effect of social support on internet addiction with the mediation of alexithymia (P ˂ 0.01). Moreover, alexithymia positively affects internet addiction (P ˂ 0.01), and social support negatively affects alexithymia (P ˂ 0.01). 
Conclusion: The study model predicts 33% of internet addiction variance. This research highlights the important effect of social support on internet addiction, which is mediated by alexithymia, in students. These results provide advisers and trainers with applicable methods to improve the psychological states of students.

Introduction: Cyberspace covers many aspects of human life and the tendency to cyberspace can influence his cognitive and emotional aspects. 
Objectives: Therefore, the purpose of the present study was to model the structural relationships of metacognitive states and the tendency to virtual networks mediated by the social adjustment in gifted students. 
Materials and Methods: This correlational-descriptive research using structural equations modeling was conducted on all 300 eleventh grade gifted students of Sampad High School studying experimental sciences in the academic year 2019 in Gorgan city. A total of 300 students were selected through the census method and evaluated by the Virtual Networks Questionnaire by Mojarradi et al. State Metacognitive Inventory by O’Neill & Abedi, and California Test of Personality. Data analysis was done by structural equation modeling using SPSS 18 and Amos 23 software.
Results: The results showed a significant negative relationship between metacognitive states and social adjustment, and tendency to virtual networks (P≤0.01). The research model was well-fit and confirmed. Also, 0.31 of the variance of the tendency to virtual networks was explained by metacognitive states and social adjustment and social adaptability played a mediating role in the relationship between metacognitive states and the tendency to virtual networks (P≤0.01).
Conclusion: Changes in tendency to cybersecurity can be explained directly based on metacognitive and indirect social adjustment states in gifted students. This study has practical implications for school counselors.