@Article{10798587.2016.1267247,
AUTHOR = {Yunlan Xue, Lingyu Xu, Jie Yu, Gaowei Zhang},
TITLE = {A Hot Event Influence Scope Assessment Method in Cyber-Physical Space For Big Data Application},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {24},
YEAR = {2018},
NUMBER = {1},
PAGES = {97--106},
URL = {http://www.techscience.com/iasc/v24n1/39730},
ISSN = {2326-005X},
ABSTRACT = {The increase of scale and complexity of Internet big data presents unprecedented opportunities on 
Cyber-Physical Systems (CPS). The incompleteness and incredibility of Internet big data are challenging 
issues for confirming the event influence scope. To solve the above problem, we propose CyberPhysical Space Event Model (CPSEM) to analyze event influence in multi-viewer, which maps real data 
into Cyber Space (CS) and Physical Space (PS). In addition, we propose Event Influence Scope Detection 
Algorithm (EISDA) to detect the scope of a hot event in Cyber Space and Physical Space.},
DOI = {10.1080/10798587.2016.1267247}
}