Real-time Monitoring of a Rich Social Data Infrastructure

Zhi Zhang

AbstractIn recent years, studies nd out that only big dataset is not enough to advance the quantitative understanding of social systems, high quality data is also needed. At the Technical University of Denmark, Sensible DTU project aims to gain knowledge about social systems by creating a dataset of unparalleled quality and size based on the capabilities of modern smartphones. Due to the data plays the most important role in the project, ensuring the user's phone collecting data properly is a crucial work.
This thesis is a case study of designing and implementing a data reporting system in real time that gives the user an easy approach for checking the data quality in the database. The information of data quality is visualized from different aspects with different level of details. To present as much information as possible and improve the user experience, a variety of visualizations and interaction techniques are used.
Before the implementation of the system, a prototype is implemented. With the feedback from the prototype, a web application called Sensible DTU Data Monitor is developed, which is the outcome of the thesis. An evaluation consisting of user feedback and performance tests was conducted. Based on the evaluation, there is a discussion of the thesis result and future works.
TypeMaster's thesis [Academic thesis]
Year2013
PublisherTechnical University of Denmark, Department of Applied Mathematics and Computer Science / DTU Co
AddressMatematiktorvet, Building 303B, DK-2800 Kgs. Lyngby, Denmark, compute@compute.dtu.dk
SeriesM.Sc.-2013-58
NoteDTU supervisors: Jakob Eg Larsen, jaeg@dtu.dk, and Sune Lehmann Jørgensen, DTU Compute
Electronic version(s)[pdf]
Publication linkhttp://www.compute.dtu.dk/English.aspx
BibTeX data [bibtex]
IMM Group(s)Intelligent Signal Processing


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