Int. J. of Wireless and Mobile Computing   »   2015 Vol.9, No.3

 

 

Title: Observer pattern network public opinion appearance-based maturity model of biological event

 

Authors: Qinghu Wang; Mingyu Bai; Yuxin Zhou; Jie Lian; Zhili Pei

 

Addresses:
College of Computer Science and Technology, Institute of Computer Application Technology, Inner Mongolia University for the Nationalities, Tongliao, China
College of Computer Science and Technology, Institute of Computer Application Technology, Inner Mongolia University for the Nationalities, Tongliao, China
College of Computer Science and Technology, Institute of Computer Application Technology, Inner Mongolia University for the Nationalities, Tongliao, China
College of Computer Science and Technology, Institute of Computer Application Technology, Inner Mongolia University for the Nationalities, Tongliao, China
College of Computer Science and Technology, Institute of Computer Application Technology, Inner Mongolia University for the Nationalities, Tongliao, China

 

Abstract: Based on the existing characteristics of network public opinion appearance, results of research and analysis indicate that the process of discovering, describing and tracking hot biological events is critical for analysis of biological events network public opinion. As biological event is the centre of analysis for network public opinion, the completeness of event modelling directly determines the profound level of analysis for network public opinion. Event model as the carrier of states representing network biological public opinion contains many aspects of knowledge, such as discovering importance and novelty of an event, describing basic form of network public opinion, and determining whether or when some events become enough or less important. In order to characterise the completeness of the public opinion states, this paper presents a maturity model of event based on observer pattern network public opinion appearance, which can excellently quantify the process of public opinion analysis.

 

Keywords: network-media biological events; maturity models; clustering heat analysis; domain ontology models; POIOI; event modelling; bioinformatics; public opinion analysis.

 

DOI: 10.1504/IJWMC.2015.073103

 

Int. J. of Wireless and Mobile Computing, 2015 Vol.9, No.3, pp.267 - 272

 

Submission date: 14 Mar 2015
Date of acceptance: 04 Jun 2015
Available online: 18 Nov 2015

 

 

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