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Yadong Zhou
Researcher at Xi'an Jiaotong University
Publications - 58
Citations - 499
Yadong Zhou is an academic researcher from Xi'an Jiaotong University. The author has contributed to research in topics: Computer science & Virtual currency. The author has an hindex of 12, co-authored 53 publications receiving 365 citations. Previous affiliations of Yadong Zhou include Beijing University of Posts and Telecommunications.
Papers
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Journal ArticleDOI
Exploiting the Vulnerability of Flow Table Overflow in Software-Defined Network: Attack Model, Evaluation, and Defense
TL;DR: A novel inference attack targeting at SDN/OpenFlow network, which is motivated by the limited flow table capacities of SDN /OpenFlow switches and the following measurable network performance decrease resulting from frequent interactions between data and control plane when the flow table is full is proposed.
Proceedings ArticleDOI
Empirical analysis of the evolution of follower network: A case study on Douban
TL;DR: The Douban follower network, which is a popular online social network in China, is studied, and some evidences showing its suitability for information spreading are provided, including an unbalanced bow-tie structure with a large out-component, which indicates that the majority of users can spread information widely.
Journal ArticleDOI
Analyzing and modeling dynamics of information diffusion in microblogging social network
TL;DR: A diffusion model based on cascade model framework is proposed to generate the retweeting network and results show that this model could reproduce the diffusion features of the retweeted network effectively and outperforms the most widely used independent cascade model.
Journal ArticleDOI
Early detection method for emerging topics based on dynamic bayesian networks in micro-blogging networks
Qi Dang,Feng Gao,Yadong Zhou +2 more
TL;DR: A new early detection method for emerging topics based on Dynamic Bayesian Networks in micro-blogging networks that is effective and capable of detecting the emerging topics one to two hours earlier than the other methods.
Journal ArticleDOI
A time-varying propagation model of hot topic on BBS sites and Blog networks
TL;DR: The experimental results show that the proposed time-varying hot topic propagation model can serve as basis for predicting trends in hot online topic propagation, and reduce the computational complexity.