Major Department

Business Analytics and Information Systems

College

College of Business

Degree

BBA (Bachelor of Business Administration)

Session and Year of Graduation

Spring 2019

Honors Major Advisor

Jennifer A. Blair

Thesis Mentor

Kang Zhao

Abstract

Online social networks are ubiquitous in our daily life and offer different ways for people to interact with each other. Link prediction aims at predicting future social connections or interactions between two users within a social network. This project implements different link prediction algorithms and evaluates their performance for online social networks among users of an online health community for smoking cessations. The social networks were based on users’ online interactions via four communication channels: blog comments, message boards, group discussions and private messages. The outcome of this study will help to provide insights into the design of recommender systems in such online social networks, and to improve user experience and engagement in online health communities.

Keywords

link prediction, social networks, online health communities

Total Pages

10

Copyright

Copyright © 2019 Shangguan Wang

COinS
 

URL

https://ir.uiowa.edu/honors_theses/306