Work

MPURank: A Social Hotspot Tracking Scheme Based on Tripartite Graph and Multimessages Iterative Driven

Year: 2019

Type: article

Source: IEEE Transactions on Computational Social Systems

DOI: 10.1109/tcss.2019.2922431

Authors: Yunpeng Xiao, Haiyang Yu, Qian Li, Ling Liu, Ming Xu, Hanchun Xiao

Institutions: Chongqing University of Posts and Telecommunications, Georgia Institute of Technology, Tsinghua University

Language: English

Topic: Complex Network Analysis Techniques

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, National Natural Science Foundation of China, Chongqing Science and Technology Commission, China Scholarship Council

Awards: EAGER: Cybermanufacturing: Predictive Analytics Models and Techniques for Intelligent Cybermanufacturing, G4476618563, G7087467546, 面向多通信场景的车联网认证机制和信任模型

OpenAlex ID: W2955864591

FWCI: 0.308

Cites: 32

Cited by: 6

Related to: 10