Xiujuan Wang1, Qianqian Zheng1, *, Kangfeng Zheng2, Yi Sui1, Jiayue Zhang1
CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 617-638, 2020, DOI:10.32604/cmc.2020.011165
Abstract Malicious social robots are the disseminators of malicious information on social
networks, which seriously affect information security and network environments. Efficient
and reliable classification of social robots is crucial for detecting information manipulation
in social networks. Supervised classification based on manual feature extraction has been
widely used in social robot detection. However, these methods not only involve the privacy
of users but also ignore hidden feature information, especially the graph feature, and the
label utilization rate of semi-supervised algorithms is low. Aiming at the problems of
shallow feature extraction and low label utilization rate in existing social network robot
detection… More >
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