作者
Velissarios Zamparas, Andreas Kanavos, Christos Makris
发表日期
2015/11/9
研讨会论文
2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI)
页码范围
591-597
出版商
IEEE
简介
In this paper we analyze and present an important aspect of Twitter platform concerning the Influence of a user. Building on existing work regarding influential users, we propose different Influence Metrics that take into account Twitter analytics as well as the behavior of each User's Followers. Twitter enables users so as to read and send short 140-character messages called "tweets" while helps them understand what is happening in the world. Exceeding 241 million active users, 500 million Tweets and 2.1 billion searches per day, every user and particularly online marketers have an actively informed audience to engage with. The flow of information has been implicitly filtered and annotated with meta-information such as reputation and influence. Social Influence can be described as the power or even the ability of a person to yet influence the thoughts and actions of other users. So, User Influence stands as a value …
引用总数
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V Zamparas, A Kanavos, C Makris - 2015 IEEE 27th International Conference on Tools with …, 2015