top of page
INTERACTIVE INTERFACE
TWEETS MINED IN JOHOR BAHRU-SKUDAI
These tweets were mined back in 2016 using Netlytics software. The interactive map was generated using ArcGIS Online application showing distribution, hotspots and time of the tweet. Such information enable us to study spatio-temporal pattern of citizen, and their dynamic movement of activities within city. Feel free to explore each tweet attribute. Beware of some personal information that you might across while doing so...
BIG DATA MINING - TWITTER
Here are some others try outs..
![]() Johor Bahru Tweet 2-3 Feb 2016.jpg | ![]() Kuala Lumpur Subject Tweet Network | ![]() UTM's Tweet by Hours and Distribution |
---|---|---|
![]() Tweet frequency accross time.jpg | ![]() Tweet frequncy accross day and classific |
EXPLORING GEOSOCIAL FOOTPRINT IN UNIVERSITI TEKNOLOGI MALAYSIA USING TWEETS
As a pilot project, we mined tweets originated from the realm of Universiti Teknologi Malaysia and analysed their spatial and temporal distribution, and then attempt to classified them according to activities of the tweeting person.
bottom of page