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    Examining the Emotions in Twitter Social Media Users' Comments Regarding the Viral Tweets of Luxury Brands Compared to Non-Luxury Brands

    , M.Sc. Thesis Sharif University of Technology Mashhadi Hossein, Alireza (Author) ; Aslani, Shirin (Supervisor)
    Abstract
    In this research, we will examine the emotions in the comments recorded about the tweets that have gone viral on the Twitter social media. We use Ekman's emotion classification model to classify emotions. Also, we choose the desired brands from the international brands of the fashion and clothing industry. These brands are divided into 2 luxury and non-luxury categories. Finally, we select 10 luxury brands and 9 non-luxury brands and extract all their tweets in a period of 6 months. Tweets that have been published more than a certain amount are considered as viral tweets, and using a machine learning model designed for this purpose, the emotions in the comments of users are analyzed and... 

    Diffusion in Social Networks Based on Partial Information

    , Ph.D. Dissertation Sharif University of Technology Ramezani, Maryam (Author) ; Rabiee, Hamid Reza (Supervisor)
    Abstract
    During the last decade, the study of various aspects of social networks has received in- creasing attention. Communication and information propagation among network mem- bers are important issues in social networking. The diffusion process is a fundamental mechanism by which information, behaviors, or new ideas spread over the network. This process starts from a small group of nodes and continues until the majority of members are affected. Although it is possible to observe the times when nodes become infected, de- termining who infected each node is often difficult to ascertain. Analyzing and modeling the diffusion process has various applications in marketing, politics, and social studies. Most...