TY - JOUR ID - 110262 TI - Exploring and Evaluating the Patterns of How Iranian Twitter Users Are Affected by the Political Attitudes of Influencers JO - International Journal of Advanced Studies in Humanities and Social Science JA - IJASHSS LA - en SN - 2717-0209 AU - Jalaeipour, Hamidreza AU - Hajizadegan, Abolfazl AD - Department of Sociology, Faculty of Social Sciences, Tehran University, Tehran, Iran AD - Ph. D Student, Sociology of Development, Faculty of Social Sciences, Tehran University, Tehran, Iran Y1 - 2020 PY - 2020 VL - 9 IS - 2 SP - 125 EP - 140 KW - Online social networks KW - Twitter KW - Influencer KW - Political Attitudes DO - 10.22034/ijashss.2020.110262 N2 - In this research, through identifying the components of what is called “Iranian Twitter”, we tried to identify and evaluate the patterns of how Iranian Twitter users are affected by the political attitudes of the Iranian Twitter Influencers. For this purpose, Influencers and Followers including 917,318 Iranian users of Twitter were categorized based on their political attitudes; then, patterns of how Followers were affected by Influencers were identified and evaluated for various political attitudes. To categorize Influencers and Followers, we used data mining techniques, and to analyze network data, we applied Gephi software. The results showed that although none of the political attitudes in Iranian Twitter have significant superiority to others, a significant proportion of users who favored a political attitude, displayed little tendency to be exposed to different political messages.      UR - https://www.ijashss.com/article_110262.html L1 - https://www.ijashss.com/article_110262_739b04637ec0148b6668060b8b667e93.pdf ER -