  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.
