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Showing 2 results for Online Scientific Social Network

, Abdolrasoul Jokar, Saeideh Ebrahimi,
Volume 3, Issue 4 (3-2017)
Abstract

Background and Aim: This study tends to investigate the reasons of interpersonal trust and the results of trust in online scientific social networks.
Methods: The applied Research has been used cluster sampling to collect data. The study population consisted of Shiraz university and Persian Gulf university faculties. A sampling of 269 person was determined by Morgan table according to whole population (900 person). In order to gathering data it was used Wu, Chen and Chang (2010) questionnaire. SPSS version 21 was used to analyze data.
Results: Results showed that Among the reasons that create trust among scientific social networks members, Satisfaction (Mean score= 27.2 and T score= 53./6) is the most effective. According to the obtained correlation coefficient between two variables commitment and trust (0.798), commitment is the result of trust in online scientific social networks. Furthermore, the correlation coefficient between two variables Stickiness and trust (0.744) showed that the stickiness is the results of trust between members of online scientific social networks.
Conclusion. Due to high impact of satisfaction on creating trust between members of online scientific social networks, we should create consent and satisfaction of members, in order to provide a place that researchers think these networks are good places to present their specialized knowledge and experience and they can exchange their information and knowledge. 
 


Dr Saeedeh Ebrahimy, Dr Ghasem Salimi, Mrs Sahar Anbaraki, Mrs Hanieh Zare,
Volume 7, Issue 1 (6-2020)
Abstract

Aim: Scientific social networks were shaped as part of a set of social software and a platform for international interactions sharing the tangible and intangible knowledge of researchers. The purpose is to investigate the patterns and behaviors of knowledge sharing of researchers in Research Gate. Based on this, the question and answer system of this scientific social network was analyzed and reviewed.
Methodology: Method is applied descriptive survey with web content analysis approach. The community studied was the questions and answers provided in the Q & A system of Research Gate. Two subject areas were selected, 127 questions and 408 responses related to these two domains were analyzed and reviewed.
Findings: Findings showed that the questions raised in two domains examined in the question and answer system of the scientific network were conceptual questions and replies in both domains were often intangible, and the type of presentation are scientific vision and mental pattern.  Most of the inquirers were researchers from Asian countries with less than 5 RG rank.  While researchers from European countries - with an RG rank of over 10, have been posting answers and sharing their expertise.
Conclusion: Q & A systems are diverse, efficient technologies for sharing knowledge and enhancing international interactions among researchers  beyond the geographical and political boundaries, which has created a place for the reproduction of scientific disciplines in the world. The results according to Castells, speak of latent power of social networks and question and answer systems in knowledge sharing and widespread knowledge boundaries that facilitate transfer of experiences, thought and knowledge of researchers and provide fertile ground for science.

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