Evaluation of Network Structure Using Similarity of Posts on Twitter
Evaluation of Network Structure Using Similarity of Posts on Twitter
复制标题
使用 Twitter 上帖子的相似性评估网络结构
DOI：
10.1007/978-3-319-91485-5_24
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Otake Kohei and Namatame Takashi
中科院分区：
文献类型：
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作者：
Sato Yusuke;Otake Kohei and Namatame Takashi
随着互联网环境和移动终端的不断扩展，社交网络服务（SNS）在我们的生活中非常流行。通过SNS，用户可以随时随地自由地提交他们的意见或声誉。这些活动在最近的各种商业场景中得到了极大的关注。Twitter是最受欢迎的SNS之一，被世界上许多人使用。此外，由于在Twitter上发布各种信息，因此预计将其用作商业策略，并且已经有许多关于使用Twitter数据进行营销的研究。此外，我们还可以在Twitter中获得有关用户网络的一些信息。在本研究中，我们尝试使用Twitter上的帖子的相似性来评估网络结构。我们利用四部日本电视剧的帖子相似度建立了用户网络，并掌握了容易引起用户兴趣的帖子类别。根据研究结果，探讨电视剧与电视剧的差异，并对电视剧制作公司的促销策略提出建议。
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.