Visualization of Diffusion Behavior Pattern of Influencers by Genre on SNS

Visualization of Diffusion Behavior Pattern of Influencers by Genre on SNS
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DOI:
10.1109/iv.2018.00054
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发表时间:
2018-07
期刊:
2018 22nd International Conference Information Visualisation (IV)
影响因子:
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通讯作者:
Chisae Iwashina;Mitsuo Yoshida;T. Itoh
Chisae Iwashina;Mitsuo Yoshida;T. Itoh
中科院分区:
其他
文献类型:
--
作者:
Chisae Iwashina;Mitsuo Yoshida;T. Itoh

文献摘要

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如今,大量的组织和个人使用社交网络服务(SNS)来传播公告。在SNS中,Twitter尤其擅长于轻松传播公告和消息。包括艺人、时尚品牌和企业在内的各种商业组织都使用Twitter发布新闻和其他信息。在推特上活跃发推文的重点用户被称为“有影响力的用户”。很多有影响力的用户身边的用户,往往都是通过“转发”功能来传播信息的。本研究使用树状图和热图来可视化有影响力的用户的推文与周围用户群之间的关系。从可视化结果中,我们发现有影响力的用户周围的用户群、转发量以及原始推文和他们的转发量之间的间隔取决于推文的内容和周围用户的方面。
A large number of organizations and individuals use Social Networking Services (SNS) to spread announcements nowadays. Among SNSs, Twitter is particularly well-used to spread announcements and messages easily. Various commercial organizations including entertainers, fashion brands, and enterprises use Twitter to announce news and other information. Highlighted users who tweet actively on Twitter are called “influential users.” Many users around influential users often spread their messages by the “retweet” function. This study visualizes the relationship between the tweets by the influential users and the surrounding user groups applying dendrogram and heatmap. From the visualization results, we found groups of users surrounding the influential users, numbers of retweets, and intervals between original tweets and their retweets depend on contents of tweets and aspects of surrounding users.