Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
33rd (2019)
Session ID : 2E5-J-6-01
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Common Characteristics Found in Twitter Data and Human Behavior on Retweet
*Shigeo Shioda SHIODAKeisuke NAKAJIMA
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

In order to see the human behavior on Twitter, we analyzed a large amount of Twitter data collected by the keyword search function of Twitter API. We found some common features in Twitter data; e.g., for any search keywords, the number of retweets follows a power-law distribution. We describe some of these characteristics based on the assumption that Twitter users tend to retweet tweets that have been retweeted many times before.

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© 2019 The Japanese Society for Artificial Intelligence
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