A Method for Measuring Popularity of Popular Events in Social Networks Using Swarm Intelligence

Author:

Chen Jiaying,Wu Zhenyu

Publisher

Springer International Publishing

Reference14 articles.

1. Wang, S., Feng, L.X.: Mining chat text based on large data word identification of new hotspots opinion. Electron. Commer. 1, 60–61 (2018)

2. Lan, Y.X., Liu, B.Y., Zhang, P., Xia, Y.X., Li, Y.Q.: Research on dynamic prediction model of internet public opinion for big data. J. Inf. 36(06), 105–110+147 (2017)

3. Wang, Z.X.: Based on mining and emotional hot events microblogging analysis. Shanghai Jiaotong University (2013)

4. Gupta, A., Mittal, N., Kohli, N.: Analysis of a sporting event on a social network: true popularity & popularity bond. In: Proceedings of the International Conference on Data Engineering and Communication Technology. Springer, Singapore (2017)

5. Gupta, M., Gao, J., Zhai, C.X., Han, J.: Predicting future popularity trend of events in microblogging platforms. Proc. Assoc. Inf. Sci. Technol. 49(1), 1–10 (2012)

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