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Research on the behaviour and law of quantity growth of followers based on WeChat official account
- Source :
- Behaviour & Information Technology. 41:1724-1739
- Publication Year :
- 2021
- Publisher :
- Informa UK Limited, 2021.
-
Abstract
- The WeChat Official Account (WCOA) is the most influential self-media platform in China, and the follower economy brought by the extension of self-media has profoundly affected its survival and development. Therefore, it is of vital importance to understand the followers' behavioural patterns and the law of quantity change of followers. To study this problem, we collected the operation data of two WCOAs. First, an evolutionary Followers-Susceptible-View-Forward-Removed (F-SVFR) model is proposed to describe the trends in the behavioural state of the followers of WCOA after accepting the pushed message. Second, we proposed an equation to simulate the number of newly increased followers and find that the number of newly increased followers of WCOA followed a similar pattern that grew rapidly in the early stages and kept a relatively low and steady rate of increase rate later on. Finally, the popularity formula is defined for the WCOA to serve as a predictor of online popularity, which demonstrated that popularity is positively correlated with the number of followers. Our study provides account operators with practical guidance, which has significance for understanding the popularity of increased official accounts and the law of quantity growth of followers.
- Subjects :
- Social network
business.industry
05 social sciences
General Social Sciences
02 engineering and technology
Popularity
Human-Computer Interaction
Extension (metaphysics)
Arts and Humanities (miscellaneous)
020204 information systems
0502 economics and business
0202 electrical engineering, electronic engineering, information engineering
Developmental and Educational Psychology
Economics
050211 marketing
Economic system
China
business
Subjects
Details
- ISSN :
- 13623001 and 0144929X
- Volume :
- 41
- Database :
- OpenAIRE
- Journal :
- Behaviour & Information Technology
- Accession number :
- edsair.doi.dedup.....7eaec2528fbcc9f2fb23151bf1d96d23
- Full Text :
- https://doi.org/10.1080/0144929x.2021.1899286