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人工知能学会論文誌
Vol. 32 (2017) No. 1 p. WII-M_1-11

記事言語:

http://doi.org/10.1527/tjsai.WII-M

論文特集「ウェブインテリジェンスとインタラクション2017」

The home locations of Twitter users can be estimated using a social network, which is generated by various relationships between users. There are many network-based location estimation methods with user relationships. However, the estimation accuracy of various methods and relationships is unclear. In this study, we estimate the users’home locations using four network-based location estimation methods on four types of social networks in Japan. We have obtained two results. (1) In the location estimation methods, the method that selects the most frequent location among the friends of the user shows the highest precision and recall. (2) In the four types of social networks, the relationship of follower has the highest precision and recall.

Copyright © 人工知能学会 2016

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