Interactive Visualization for Deep Organizational data

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.

Name thesis:degree_name

M Sc

Discipline thesis:degree_discipline

Computer Science

Grantor dc:publisher

The University of Western Ontario

Year dc:date.issued

2015

Author dc:creator

• Khosravi, Arash

Advisor dc:contributor.advisor

• Kamran Sedig

• visualization tool
• interactive visualization
• organizational data
• multi-layer data
• deep data
• hierarchical data
• representation
• interaction
• interactivity

Language dc:language.iso

en_ca

Handle dc:identifier.uri

https://hdl.handle.net/20.500.14721/35701

OAI identifier oai:identifier

oai:uwo.scholaris.ca:20.500.14721/35701