Analysis of Social Network Generation Methods for Home Location Estimation in Japan
Analysis of Social Network Generation Methods for Home Location Estimation in Japan
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DOI：
10.1527/tjsai.wii-m
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发表时间：
2017
影响因子：
--
通讯作者：
Shiori Hironaka;Mitsuo Yoshida;Masayuki Okabe;Kyoji Umemura
中科院分区：
文献类型：
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作者：
Shiori Hironaka;Mitsuo Yoshida;Masayuki Okabe;Kyoji Umemura
Twitter用户的家庭位置可以使用社交网络来估计，该社交网络由用户之间的各种关系生成。有许多基于网络的用户关系的位置估计方法。然而，各种方法的估计精度和关系尚不清楚。在这项研究中，我们估计用户的家庭位置使用四种基于网络的位置估计方法在四种类型的社交网络在日本。我们得到了两个结果。(1)在位置估计方法中，从用户好友中选择最频繁位置的方法表现出最高的准确率和召回率。(2)在四类社交网络中，追随者关系的查准率和查全率最高。
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.