  User attributes, such as home location, are useful for many applications.
Many researchers have been tackling how to estimate users' home locations using
relationships among users. It is known that the home locations of certain
users, such as celebrities, are hard to estimate using relationships. However,
because estimating the home locations of all celebrities is not actually hard,
it is important to clarify the characteristics of users whose home locations
are hard to estimate. We analyze whether centralities, which represent users'
characteristics, and the tendency to have the same home locations as friends
are related. The results indicate that PageRank and HITS scores are related to
whether users have the same home location as friends, and that users with
higher HITS scores have the same home location as their friends less often.
This result indicates that there are two types of users whose home locations
are difficult to estimate: hub users who follow many celebrities and authority
users who are celebrities.
