Abstract
Social media is used all over the world. Although the home location attribute is available anywhere, few studies have been conducted on the differences in the performance of home location estimation between countries. Because social media is used differently in different countries, the difference between countries in terms of users’ relationships needs to be investigated. We consider the performance of graph-based home location estimation in capturing users’ relationships, as it is affected by users’ social media usage. We analyze user profiles in 10 countries by graph-based estimation and find that some profile attributes, in particular, contribute to the estimation performance for all the countries examined.
Highlights
Social media is widely used everywhere in the world
We focus on 12 profile attributes, including the indirect attribute follow ratio, which is obtained from two other attributes that can be directly retrieved from the Twitter API
We analyzed the relationship between user profiles and their relationships using home location estimation
Summary
Social media is widely used everywhere in the world. Social media data have been used for detecting phenomena such as influenza epidemics [1], earthquakes [2], and global mobility patterns [3]. In these cases, users’ home locations are utilized to combine real-world information with information obtained online. Aggregated tagged locations in users’ posts or self-declared locations in users’ profiles are ways of determining users’ home locations [4]. Information regarding users’ home locations is sometimes missing; researchers have developed methods for estimating home locations from other information [5]
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call