Geo-based Information Visualizations (GIV) allow people to analyze data points based
on their related geographic locations. This approach is usually adopted where a large scale
geo-referenced dataset is present and users are trying to find a way to examine
hidden patterns within this data. One of the emerging trends in GIV is to visualize social
media data to show how information flows between users of popular social networking
sites. Due to its public nature and the large number of users, most of the visualizations in
this area rely on conversational data from Twitter (Twitter.com). In this thesis, we design
and implement a web-based interactive GIV system, AcademiaMap-GIV, to visualize
online conversations among scholars on Twitter. A formal exploratory user study was
also conducted on the target users. The study results demonstrated that most of the study
respondents found the features of AcademiaMap-GIV effective in regards to visualizing
information of their interests.
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:NSHD.ca#10222/14364 |
| Date | 07 December 2011 |
| Creators | Rahman, Jamiur |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
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