Document Type : *
Authors
ferdowsi university of mashhad
Abstract
The main purposes of the present research are: First, prioritize the general types of scientific communication and information networks in terms of informing about job opportunities through scientific collaboration with social contacts at various levels of knowledge diffusion. Second, determining the performance of the scientific collaboration network of sociology students in terms of access to job information to which these networks is similar. The present writing in terms of theory, method, and technique is based on the social network analysis approach. The study population includes all Graduate Students in the Sociology of Ferdowsi University of Mashhad (60 students). Data was relational and was collected by name generator questionnaire and was analyzed with R software. Findings from network description showed that members prefer to collaborate scientifically with whom they are popular themselves or with their colleagues, as well as those with whom they have common collaborators. Findings from network-based modeling showed that small-world network has the best performance in terms of informing about job opportunities through scientific collaboration with social contacts and respectively regular network, random network and scale-free network are placed in the next priorities. Yet, the performance of the scientific collaboration network of sociology students such as a scale-free network is bipolar. According to results, scientific communication and information network is considered to be efficient when it is not only a knowledge generator but also a provider of job information.
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