  User's home locations are used by numerous social media applications, such as
social media analysis. However, since the user's home location is not generally
open to the public, many researchers have been attempting to develop a more
accurate home location estimation. A social network that expresses
relationships between users is used to estimate the users' home locations. The
network-based home location estimation method with iteration, which propagates
the estimated locations, is used to estimate more users' home locations. In
this study, we analyze the function of network-based home location estimation
with iteration while using the social network based on following relationships
on Twitter. The results indicate that the function that selects the most
frequent location among the friends' location has the best accuracy. Our
analysis also shows that the 88% of users, who are in the social network based
on following relationships, has at least one correct home location within
one-hop (friends and friends of friends). According to this characteristic of
the social network, we indicate that twice is sufficient for iteration.
