On analyzing geotagged tweets for location-based patterns

• Main Authors: PRASETYO, Philips Kokoh, ACHANANUPARP, Palakorn, LIM, Ee Peng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Location-based patterns; Urbanatics; Computer Sciences; Databases and Information Systems; Social Media
• Online Access: https://ink.library.smu.edu.sg/sis_research/3552; https://ink.library.smu.edu.sg/context/sis_research/article/4553/viewcontent/Geotagged_Tweets_lbp_pv_oa.pdf
• Institution: Singapore Management University

Geotagged social media is becoming highly popular as social media access is now made very easy through a wide range of mobile apps which automatically detect and augment social media posts with geo-locations. In this paper, we analyze two kinds of location-based patterns. The first is the associatio...