Master of Science
Prof. Kamran Sedig
During the last decade, there has been a growing interest in investigating how and why people use organizational data to solve problems, make decisions, and perform other cognitive activities, especially in the social network, healthcare, and education domains. Working with organizational data is challenging because of the complex and multi-structured nature of it. One way to support cognitive activities with organizational data is through the use of interactive visualization tools that provide different representations and mechanisms for interacting with deep layers of the data. In this research, we have deep organizational data which is mainly about collaborations inside universities. The thesis goal is making an interactive visualization tool to support complex cognitive activities with this database. The generated visualization tool has an expandable and reusable structure as well as innovative representations and interactions designed to allow navigating through the data intuitively.
Khosravi, Arash, "Interactive Visualization for Deep Organizational data" (2015). Electronic Thesis and Dissertation Repository. 2776.