To analyze the impact that arXiv is having on the world, in this paper we propose an arXiv information distribution model on Twitter, which has a three-layer structure: arXiv papers, information spreaders, and information collectors. First, we use the HITS algorithm to analyze the arXiv information diffusion network with users as nodes, which is created from three types of behavior on Twitter regarding arXiv papers: tweeting, retweeting, and liking. Next, we extract communities from the network of information spreaders with positive authority and hub degrees using the Louvain method, and analyze the relationship and roles of information spreaders in communities using research field, linguistic, and temporal characteristics. From our analysis using the tweet and arXiv datasets, we found that information about arXiv papers circulates on Twitter from information spreaders to information collectors, and that multiple communities of information spreaders are formed according to their research fields. It was also found that different communities were formed in the same research field, depending on the research or cultural background of the information spreaders. We were able to identify two types of key persons: information spreaders who lead the relevant field in the international community and information spreaders who bridge the regional and international communities using English and their native language. In addition, we found that it takes some time to gain trust as an information spreader.
翻译:为了分析ArXiv对世界的影响,在本文中,我们提议在Twitter上采用ArXiv信息传播模式,该模式有三层结构:ArXiv文件、信息传播器和信息收集器。首先,我们利用HITS算法分析ArXiv信息传播网络,用户作为节点,这是从Twitter上关于ArXiv文件的三种行为中产生的,这三种行为方式对ArXiv文件的影响:Twitter、Twitter、reweeting和喜好。接着,我们利用Louvain方法从信息传播者网络中提取具有积极权威和中心学位的信息传播者网络的社区,并利用研究领域、语言和时间特征分析信息传播者在社区中的关系和作用。我们利用Twitter和ArXiv数据集分析我们的分析,发现关于ArXIV文件的信息传播者在Twitter上从信息传播到信息收集者,多个信息传播社区根据其研究领域组成。还发现,不同的社区是在同一个研究领域组成,取决于信息传播者的研究或文化背景,我们利用研究领域、语言和时间特性分析信息传播者在社区中发现了两个关键群体。我们发现,我们发现,在互联网上找到了信息传播者,我们找到了信息传播领域和获取者。