Open Access

ARTICLE

A Hot Event Influence Scope Assessment Method in Cyber-Physical Space For Big Data Application

Yunlan Xue^a, Lingyu Xu^b, Jie Yu^b, Gaowei Zhang^b

^a Department of Computer Science, Guangdong Polytechnic Institute, Zhongshan, China;
^b School of Computer Engineering and Science, Shanghai University, Shanghai, China

* Corresponding Author: Jie Yu,

Intelligent Automation & Soft Computing 2018, 24(1), 97-106. https://doi.org/10.1080/10798587.2016.1267247

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.

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Keywords

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