From Discourse-Equality to Discourse-Recentralization:Study on the Communication Mechanism of Hot-Events in Micro-Blogs
LI Bia
Abstract
LI Bia
Abstract
With the rise of social media,micro-blog has become an important source of information and opinions for hot-events in China.It has high value in the research on communication mechanism of hot-events in micro-blog.This paper selects 21 hot-events in Sina micro-blog in two years.By using the data mining techniques,this paper finds that verified-users and men are setting the hot-events issues and retweeting them;the depth and width of retweeting fits scale-free network and small-world phenomenon;the clustering coefficient of hot-events is higher than other topics.The discourse-equality is the discourse-recentralization in fact.This paper also finds the properties of communication structure has great relevance with the hot-events themselves,and the communication structure of hot-events is multisourced,multi-centered,multi-layered and random.In conclusion,we must have correct understanding of the rumors in the hot-events in micro-blog.
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With the rise of social media,micro-blog has become an important source of information and opinions for hot-events in China.It has high value in the research on communication mechanism of hot-events in micro-blog.This paper selects 21 hot-events in Sina micro-blog in two years.By using the data mining techniques,this paper finds that verified-users and men are setting the hot-events issues and retweeting them;the depth and width of retweeting fits scale-free network and small-world phenomenon;the clustering coefficient of hot-events is higher than other topics.The discourse-equality is the discourse-recentralization in fact.This paper also finds the properties of communication structure has great relevance with the hot-events themselves,and the communication structure of hot-events is multisourced,multi-centered,multi-layered and random.In conclusion,we must have correct understanding of the rumors in the hot-events in micro-blog.
Key concepts: Mechanism (biology), Microblogging, Phenomenon, China, Clustering coefficient, Sociology, Social media, Hot spot (computer programming)