Open AccessBehavior Analysis of College Students on Using Microblog in Big Data Environment
Author(s) -
Yang Peng,
Wei Li
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/569/5/052098
Subject(s) - microblogging , crawling , social media , computer science , big data , world wide web , space (punctuation) , data science , web crawler , data mining , medicine , anatomy , operating system
With the development of information technology in big data environment, the “closed” campus has gradually turned into an open campus, which brings a series of new opportunities and challenges for the student management of college. Social platforms such as Microblog can provide students with a broader space for learning and communication, students are no longer limited to being managed, and they are increasingly inclined to their own opinions. In this paper, a distributed Microblog spider platform is studied and implemented for the behavior of student users. First, the data support can be provided for behavior analysis by the crawling of user information and content of Microblog. Secondly, the combing, integrating, analyzing and mining of the crawled data can make the useful value behind the information fully utilized in the student management work.