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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

Johor Bahru Tweet 2-3 Feb 2016.jpg

Kuala Lumpur Subject Tweet Network

Kuala Lumpur Subject Tweet Network

UTM's Tweet by Hours and Distribution

UTM's Tweet by Hours and Distribution

Tweet frequency accross time.jpg

Tweet frequency accross time.jpg

Tweet frequncy accross day and classific

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.

  • Facebook
  • Twitter
  • LinkedIn

©2020 by Jamal Aimi Jamaludin. Proudly created with Wix.com

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