His primary areas of investigation include Probability and statistics, Data mining, Complex network, Ranking and Scale-free network. Tao Zhou combines subjects such as Complex system, Computation, Resource allocation and Power law with his study of Probability and statistics. Tao Zhou undertakes interdisciplinary study in the fields of Data mining and Speedup through his research.
His Complex network study combines topics from a wide range of disciplines, such as Ecology, Centrality, Information technology, Network model and Link. Tao Zhou has researched Ranking in several fields, including Algorithm, Collaborative filtering and PageRank. His work in Learning to rank addresses subjects such as Search algorithm, which are connected to disciplines such as Ranking, Bioinformatics, Data science and The Internet.
Tao Zhou spends much of his time researching Complex network, Data mining, Statistical physics, Recommender system and Probability and statistics. His research on Complex network also deals with topics like
Recommender system is frequently linked to The Internet in his study. Probability and statistics connects with themes related to Complex system in his study. As a part of the same scientific study, he usually deals with the Collaborative filtering, concentrating on Ranking and frequently concerns with Algorithm.
His primary scientific interests are in Complex network, Network science, Enhanced Data Rates for GSM Evolution, Degree and Coronavirus disease 2019. The Complex network study which covers Statistical physics that intersects with Dynamics. His research integrates issues of Induced subgraph, Data mining, Identification, Greedy algorithm and Component in his study of Network science.
His Data mining research incorporates themes from Cluster analysis, Prediction algorithms and Hop. His Enhanced Data Rates for GSM Evolution research includes elements of Katz centrality, Measure, Topology, Benchmark and Index. His research in Degree intersects with topics in Mathematical optimization, Eigenvector centrality, Theoretical computer science and Edge based.
His main research concerns Complex network, Econometrics, Probability and statistics, Network science and Degree. His Complex network research incorporates elements of Node, Phase transition, Statistical physics and Node. His Node research includes themes of Computational complexity theory, Measure, Theoretical computer science and Network complexity.
Tao Zhou combines subjects such as Entropy, Estimator, Link and Algorithm with his study of Probability and statistics. His Network science research is multidisciplinary, incorporating perspectives in Linear programming, Economic expansion and Multivariate statistics. Tao Zhou interconnects Stochastic game, Rationality and Evolutionary game theory in the investigation of issues within Degree.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Link prediction in complex networks: A survey
Linyuan Lü;Linyuan Lü;Linyuan Lü;Tao Zhou;Tao Zhou.
Physica A-statistical Mechanics and Its Applications (2011)
Bipartite network projection and personal recommendation.
Tao Zhou;Tao Zhou;Jie Ren;Matúš Medo;Yi-Cheng Zhang;Yi-Cheng Zhang.
Physical Review E (2007)
Predicting missing links via local information
Tao Zhou;Tao Zhou;Linyuan Lü;Yi-Cheng Zhang;Yi-Cheng Zhang.
European Physical Journal B (2009)
Linyuan Lü;Matus Medo;Chi Ho Yeung;Yi-Cheng Zhang.
Solving the apparent diversity-accuracy dilemma of recommender systems
Tao Zhou;Zoltán Kuscsik;Jian-Guo Liu;Matúš Medo.
Proceedings of the National Academy of Sciences of the United States of America (2010)
Identifying influential nodes in complex networks
Duanbing Chen;Linyuan Lü;Ming-Sheng Shang;Yi-Cheng Zhang;Yi-Cheng Zhang.
Physica A-statistical Mechanics and Its Applications (2012)
Efficient routing on complex networks.
Gang Yan;Tao Zhou;Bo Hu;Zhong-Qian Fu.
Physical Review E (2006)
Leaders in social networks, the Delicious case.
Linyuan Lü;Yi-Cheng Zhang;Yi-Cheng Zhang;Yi-Cheng Zhang;Chi Ho Yeung;Chi Ho Yeung;Chi Ho Yeung;Tao Zhou;Tao Zhou;Tao Zhou.
PLOS ONE (2011)
Vital nodes identification in complex networks
Linyuan Lü;Linyuan Lü;Duanbing Chen;Xiao-Long Ren;Qian-Ming Zhang.
Physics Reports (2016)
Similarity index based on local paths for link prediction of complex networks.
Linyuan Lü;Ci-Hang Jin;Tao Zhou;Tao Zhou.
Physical Review E (2009)
Profile was last updated on December 6th, 2021.
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