Analysis of Big Data of an Online Community Based on Artificial Intelligence
Using artificial intelligence method to analyze the data can help enterprises accurately predict community development. From the point of view of the behavior of community users, this paper uses artificial intelligence to define the behavior attributes of users, summarize the behavior patterns of users, use the interaction between users as the edge of online community network, and use the size of user groups as the sub-network of online community network. We analyze the behavior of community users, and make irregular changes in the online community network. Prediction is based on the evolution model of an online community network. In the process of experiment, we use artificial intelligence to extract the characteristics of user behavior and realize the grouping of user groups. The designed evolutionary model can predict the behavior of community users and the interaction of community users. The simulated evolutionary structure of the community is similar to that of real community network.
KeywordsArtificial intelligence Big data User behavior Evolution model Evolutionary structure
The authors would like to thank for financial support by youth fund project of the humanities and social sciences of Education Ministry (15YJC870004), science and technology innovation team of XiangNan University, Hunan province undergraduate research-based learning and innovative experimental project (719), Big data research institute of XiangNan University, and social science planning project of Chenzhou (Czsskl2017067).
- 1.Chai, J.X., Fan, K.K.: Mobile inverted constructivism: education of interaction technology in social media. EURASIA J. Math. Sci. Technol. Educ. 12(7) (2016)Google Scholar
- 2.Chen, Y., Zhen, F., Bo, W., Wei, Z.: A study of internet information asymmetry relations among Chinese cities based on the micro-blog platform. Adv. Earth Sci. 27(12), 1353–1362 (2012)Google Scholar
- 5.Derthick, K., Scott, J., Villar, N., Winkler, C.: Exploring smartphone-based web user interfaces for appliances. In: International Conference on Human-Computer Interaction with Mobile Devices & Services. ACM (2013)Google Scholar