Social networking service (SNS) is very popular in our lives, with expanding internet environments and mobile device. Through the SNS, user can submit their opinion or reputation freely, anytime and anywhere. These activities are getting great attention on a various business scenes in recently. Twitter is one of the most popular SNS, and used by numerous people in the world. In addition, since various information is posted on Twitter, it is expected to be utilized as a business strategy, and there have been many studies on the marketing using Twitter data. Moreover, we can get some information about user’s network in Twitter. In this research, we attempt to evaluate the network structure using similarity of post on Twitter. We created the user network using similarity of posts mentioned about four titles of Japanese TV drama, and we grasped the post categories that is easy to get user’s interest. From the result, we discussed the difference between TV drama and suggestions for promotion strategies of TV drama production company.
CITATION STYLE
Sato, Y., Otake, K., & Namatame, T. (2018). Evaluation of network structure using similarity of posts on twitter. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10914 LNCS, pp. 315–329). Springer Verlag. https://doi.org/10.1007/978-3-319-91485-5_24
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