Visualizing Trends on Twitter
Name
871036935-MIT.pdf
Description
Full printable version
Size
1.68 MB
Format
Adobe PDF
Checksum (MD5)
ad49961b54187ab0d38b2b4249e80933
Author(s)
Tong, Cheng Hau
Advisor(s)
Samuel Madden.
Alternative Title
System for automated trending event coverage on Twitter
Date Issued
2013
Publisher
Massachusetts Institute of Technology
Abstract
With its popularity, Twitter has become an increasingly valuable source of real-time, user-generated information about interesting events in our world. This thesis presents TwitGeo, a system to explore and visualize trending topics on Twitter. It features an interactive map that summarizes trends across dierent geographical regions. Powered by a novel GPU-based datastore, this system performs ad hoc trend detection without predefined temporal or geospatial indexes, and is capable of discovering trends with arbitrary granularity in both dimensions. An evaluation of the system shows promising results for visualizing trends on Twitter in real time.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 51-52).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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