Publication Type
PhD Dissertation
Version
publishedVersion
Publication Date
2-2017
Abstract
This dissertation studies the modeling of user-item adoption dynamics where an item can be an innovation, a piece of contagious information or a product. By “adoption dynamics” we refer to the process of users making decision choices to adopt items based on a variety of user and item factors. In the context of social networks, “adoption dynamics” is closely related to “item diffusion”. When a user in a social network adopts an item, she may influence her network neighbors to adopt the item. Those neighbors of her who adopt the item then continue to trigger more adoptions. As this progress unfolds over time, the item is diffused through the social network. This connection motivates us to study also item diffusion modeling.
Keywords
User profiling, Social media, Selective self-disclosure
Degree Awarded
PhD in Information Systems
Discipline
Databases and Information Systems | Management Information Systems | Social Media
Supervisor(s)
LIM, Ee Peng
First Page
1
Last Page
205
Publisher
Singapore Management University
City or Country
Singapore
Citation
LUU, Minh Duc.
Modeling adoption dynamics in social networks. (2017). 1-205.
Available at: https://ink.library.smu.edu.sg/etd_coll_all/4
Copyright Owner and License
Author
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Included in
Databases and Information Systems Commons, Management Information Systems Commons, Social Media Commons