Abstract
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.
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Acknowledgement
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).
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Chen, XG., Lu, Rh., Duan, S., Wang, Ld. (2020). Analysis of Big Data of an Online Community Based on Artificial Intelligence. In: Liu, Y., Wang, L., Zhao, L., Yu, Z. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2019. Advances in Intelligent Systems and Computing, vol 1075. Springer, Cham. https://doi.org/10.1007/978-3-030-32591-6_109
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DOI: https://doi.org/10.1007/978-3-030-32591-6_109
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