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Kechen Zhuang,Fawang Han,Haibo Shen,Kun Zhang,Hong Zhang 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.6
Information diffusion in online social network especially in microblog system, can largely affect the public opinion and even the development of events, so the prediction of the future dynamics of diffusion could be very valuable at many aspects. In this research, a novel graph-based cascades construct algorithm is proposed, with which we build a prediction model for future information diffusion dynamics. By learning user influence features that related with the network topology and users’ interactions from a large scale real Weibo dataset, we successfully predicted the short term topic related tweets population dynamics.
A trust evaluation method for improving nodes utilization for wireless sensor networks
( Shen Haibo ),( Zhuang Kechen ),( Zhang Hong ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.3
Existing trust evaluation models for wireless sensor networks can accurately and objectively evaluate trust value of nodes, but the nodes’ energy saving problem was ignored. Especially when there are a few malicious nodes in a network, the overall trust value calculation for all nodes would waste lots of energy. Beside that, the network failure caused by nodes death was also not considered. In this paper, we proposed a method for avoiding energy hole which applied trust evaluation models and a trust evaluation method based on information entropy, so as to achieve the purpose of improving nodes utilization. Simulation results show that the proposed method can effectively improve nodes utilization, and it has reasonable detection rate and lower false alert rate compared to other classical methods.