An Estimate Method of Event Influence Scope Based on Special Field

The increase of scale and complexity exceeds of Internet big data presents unprecedented opportunities on deeply mining and taking full advantage of the big value. Meanwhile, the discovery, propagation and influence evaluation of web event become popular. The incompleteness and incredibility of Inte...

Full description

Saved in:
Bibliographic Details
Published in2015 International Conference on Identification, Information, and Knowledge in the Internet of Things (IIKI) pp. 39 - 44
Main Authors Yunlan Xue, Lingyu Xu, Lei Wang, Gaowei Zhang, Xiangfeng Luo
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2015
Subjects
Big data
Data mining
event influence scope
Internet
Internet big data
Size measurement
Stock markets
Time series analysis
Trajectory
virtual and real space
Online AccessGet full text

Cover

More Information
Summary:The increase of scale and complexity exceeds of Internet big data presents unprecedented opportunities on deeply mining and taking full advantage of the big value. Meanwhile, the discovery, propagation and influence evaluation of web event become popular. The incompleteness and incredibility of Internet big data are a challenge issues for estimating to the scope of event influence. To solve the above problem, we propose Virtual Real Space of Event Model (VRSEM) for analysing web event in multi-viewer, which maps web event into space of Network Public Opinion Data Space (OS) and Actual Behavior Data Space (BS). In addition, we propose Event Influence Scope Estimate Algorithm (EISEA) to detect the scope of event influence in virtual and real spaces. The experimental results prove that the EISEA is more effective in VRSEM.
DOI:10.1109/IIKI.2015.15