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Showing 2 results for Google
Seyed Reza Naqibolsadat, Fatemeh Qasabi, Volume 1, Issue 3 (2-2013)
Abstract
This study tries to provide a virtual image of
the structure and design of
Facenama, Cloob, Facebook and Google+ social networks. The main question in
this study is which variable or variables are differ in the structure and design of social networks of
Iranian and non-Iranian. Content analysis has been used in this study. Content
analysis is a research method to describe the objective, systematic and quantitative
manifest content of communication messages used. Overall, this study showed
that most of the real images, personal pictures, lots of charm, design web
format, fixed format, output format, content, text and images, colors and
texture, heat and cold, and emotional attraction for color, many comments, more
than 10 Comments, iconic landmarks and layering of different materials used in
the structure and design of
social networks.
Also, there is a significant correlation
between the actual picture type, color, format, content production, layering
content and comments with social networks of Iranian and non-Iranian.
Mr Aliakbar Akbaritabar, Prof. Jafar Hezarjaribi, Volume 5, Issue 1 (8-2016)
Abstract
This research suggests a methodological improvement to study social capital in online social networks. We have designed a measurement tool based on Lin's theory of social resources. It is named Social Village and can be accessed in (http://socialvillage.me). By this tool, we are getting access to profile and friendship data of users of online social networks (Facebook and Google Plus). To access this data, we ask for users’ permission by social login and we have designed a gamified and interesting social survey that helps users get an in-depth knowledge of their online life. This tool combines three structural generators for social capital data (name, position and resource generators) and it has been developed in three languages (English, French and Persian) enabling us to conduct comparative studies. Based on our results presented in this report, 412 users in sample of our study know who they are connected with in online social networks, they know their friends’ socio-economic positions and they are providing or receiving various resources through their online friendships and their level of social capital is signifacntly correlated with their activities in online social networks and some other variables that are discussed in the report.
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