جستجوی مقالات مرتبط با کلیدواژه « Social Network Analysis » در نشریات گروه « علوم سیاسی »

The platform society refers to a social life in which political, cultural, social and communication flows are increasingly driven by algorithms and fed with data by a globalized ecosystem of online platforms. In such a society, different networked publics will have the characteristic of networking. This research seeks to investigate the political activism of Twitter networked publics during the 2021 Iraqi parliamentary elections.

The period under investigation is from two weeks before to two weeks after holding parliamentary elections in that country; Data collection was done by machine using Twitter API and random sampling was used to check the themes of networked publics. The analysis method in this research is a combination of social network analysis, sentiment analysis and thematic analysis.

Finally, 10 networked publics active on Twitter were identified and the content expressed by each was analyzed, the largest of which belongs to Sadrist Movement, which shows the compatibility of real and virtual space in this area.

Finally, it was concluded that creating a change in the pattern of communication norms and producing communication messages in line with the country's goals can be a suitable strategy to restore Iran's strategic influence at the international level and adopting confrontational approaches has always been a costly and low-yield method for movements attributed to the axis of resistance.

Despite many studies done on S&T collaboration networks، the relationships among the members of such networks has been less investigated. Present study has addressed the intra-network relationships of the members of INLN during the years 2004-16. The statistical population of this research includes all the members of INLN network and semi-structured interviews have been conducted with a number of key informants in order to identify the types of relationships. Using content analysis method، 21 types of relationships were identified and classified into 7 categories. Subsequently، using a questionnaire، the dyadic relationships between the member Laboratories were investigated and analyzed by SNA approach. The researched results revealed that in terms of intensity of communications، private centers have the most relationships followed by research institutes and universities respectively. Also، organizational motivations، interaction spaces and motivated people have played an important role in developing the collaboration relationships between network members.