Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 3 of 3
Full-Text Articles in Engineering
Learning And Decision Making In Social Media Networks, Zhecheng Qiang
Learning And Decision Making In Social Media Networks, Zhecheng Qiang
Electronic Theses and Dissertations, 2020-
Social media is a virtual community where users share news, ideas, interests, and information. Learning the information diffusion dynamics and making decisions correspondingly, e.g., selecting the seed nodes to maximize the influence, have been widely applied to the areas of viral marketing and cyber security. In this dissertation, we study the problem of learning diffusion process, i.e., infection prediction, in social media networks utilizing both feature-based machine learning methods and mathematical model-based methods. For feature-based machine learning methods, the neighborhood information is treated as an important feature together with user profile and content similarity features. For model-based methods, two distinctive …
Investigating The Effects Of Negative Influence Gradients And Emotion Contagion On The Information Processing Capacity Of Social Media Users: Information Diffusion Modeling Approach, Nisha Baral
Electronic Theses and Dissertations, 2020-
With the growing use of Online social media (OSM), users are observing a substantial amount of information in their social feeds. Moreover, people often use multiple OSM platforms because of each platform's unique features. Because of the huge volume of information present in social feeds, it restricts a user's ability to process the relevant information since the most important information may be overwhelmed by unimportant information. For information to diffuse in OSM, the receiver's attention is the most important condition. Cognition plays an important role in determining a user's attention/responsiveness. If OSM users receive the information above their cognition limits …
Not All Influence Is Born Equal: On The Effects Of Various Types Of Behavioral Influence Relationships On Social Media, Chathurani Senevirathna
Not All Influence Is Born Equal: On The Effects Of Various Types Of Behavioral Influence Relationships On Social Media, Chathurani Senevirathna
Electronic Theses and Dissertations, 2020-
Typically, online social influence is analyzed using a single metric approach. However, social influence is not monolithic; different users exercise different influences in different ways, and influence is correlated with the user and content-specific attributes. One such attribute could be whether the action is an initiation of a new post, a contribution to a post, or a sharing of an existing post. Thus, this dissertation uses this platform-independent action classification and models the influence as multiple entities and examines social networks through the perspective of behavioral influence propagation. Two empirical studies are present in this dissertation. The first study presents …