Abstract
Water army is the network groups which engaged in the topic of speculation, marketing events, and the others to interfere normal information transmission, the information they released includes its behavioral characteristics. Therefore there is a need for in-depth discussion of their behavior and characteristics. In this paper, we adopt the opinion information extraction algorithm, and collect data released on the forum, including the posts and comments information of the Water army and the internet users. The background data is the time distribution of the numbers of QQ online in this paper, and analyzes the special characters of the collected information release time, finding the time features of the Water army is consistent with the general life cycle, to prove the Water army is the full-time; then make the accounts and posting comments constitute a network, analyzing its community structure using community division algorithm, and the results was compared with the water army organization behavior, to make sure the behavior of Water army has the organization.
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Fan, C., Liu, C., Zhang, C., Wu, H. (2015). Analysis of the Time Characteristics of Network Water Army Based on BBS Information. In: He, X., et al. Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques. IScIDE 2015. Lecture Notes in Computer Science(), vol 9243. Springer, Cham. https://doi.org/10.1007/978-3-319-23862-3_3
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DOI: https://doi.org/10.1007/978-3-319-23862-3_3
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