Time-based user-movement pattern analysis from location-based social network data

Huey Ling Chuan; Isaraporn Kulkumjon; Surbhi Dangi

doi:10.1117/12.2003519

4 February 2013 Time-based user-movement pattern analysis from location-based social network data

Huey Ling Chuan, Isaraporn Kulkumjon, Surbhi Dangi

Proceedings Volume 8654, Visualization and Data Analysis 2013; 86540R (2013) https://doi.org/10.1117/12.2003519
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States

Abstract

Virtual social interactions play an increasingly important role in the discovery of places with digital recommendations. Our hypothesis is that people define the character of a city by the type of places they frequent. With a brief description of our dataset, anomalies and observations about the data, this paper delves into three distinct approaches to visualize the dataset addressing our two goals of: 1. Arriving at a time-based region specific recommendation logic for different types of users classified by the places they frequent. 2. Analyzing the behaviors of users that check-in in groups of two or more people. The study revealed that distinct patterns exist for people that are residents of the city and for people who are short-term visitors to the city. The frequency of visits, however, is both dependent on the time of the day as well as the urban area itself (e.g. eateries, offices, local attractions). The observations can be extended for application in food and travel recommendation engines as well as for research in urban analytics, smart cities and town planning.

Citation Download Citation

Huey Ling Chuan, Isaraporn Kulkumjon, and Surbhi Dangi "Time-based user-movement pattern analysis from location-based social network data", Proc. SPIE 8654, Visualization and Data Analysis 2013, 86540R (4 February 2013); https://doi.org/10.1117/12.2003519

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available