[1]王根生.自媒体环境下医患舆情S型曲线演化模型研究[J].江西师范大学学报(自然科学版),2018,(03):317-322.[doi:10.16357/j.cnki.issn1000-5862.2018.03.16]
　WANG Gensheng.The Study on the S-Curve Evolution Model about Doctor-Patient Public Opinion in We Media[J].Journal of Jiangxi Normal University:Natural Science Edition,2018,(03):317-322.[doi:10.16357/j.cnki.issn1000-5862.2018.03.16]
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自媒体环境下医患舆情S型曲线演化模型研究()
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《江西师范大学学报》（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2018年03期
页码:
317-322
栏目:
信息科学与技术
出版日期:
2018-06-20

文章信息/Info

Title:
The Study on the S-Curve Evolution Model about Doctor-Patient Public Opinion in We Media
文章编号:
1000-5862(2018)03-0317-06
作者:
王根生
江西财经大学国际经贸学院,江西 南昌 330013
Author(s):
WANG Gensheng
School of International Trade and Economics,Jiangxi University of Finance and Economic,Nanchang Jiangxi 330013,China
关键词:
医患关系;  网络舆情;  S型曲线演化模型
Keywords:
doctor-patient relationship;  internet public opinion;  S-curve evolution model
分类号:
TP 391.4
DOI:
10.16357/j.cnki.issn1000-5862.2018.03.16
文献标志码:
A
摘要:
以“生命周期理论”和“逻辑斯谛方程”为基本理论依据,构建医患关系网络舆情S型曲线演化模型; 以“陕西榆林产妇坠亡案”为议题,借助SPSS序列2次编程法进行S型曲线拟合.分析不同时间段医患舆情热值的变化趋势,提出医患关系演化的4个阶段及其特征.最后从涉事方、政府和舆情演化阶段3个视角提出建议,为进一步研究医患关系及医患舆情预警提供支撑.
Abstract:
Based on the Life Cycle Theory and Logistic Equation,constructs an S-curve evolution model of internet public opinion about doctor-patient relationship.Based on the case of maternal death in Yulin County,Shanxi Province,uses Secondary Programming method of SPSS to fit S-curve.Analyzing the tendency of change of doctor-patient public opinion heat value at the different periods,puts forward the four stages and their characteristics to the doctor-patient relationship evolution.Finally,recommends respectively from three perspective of from the parties involved,the government and the public opinion evolution stage to provide support for further research on doctor-patient relationship and early warning of doctor-patient public opinion.

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备注/Memo

备注/Memo:
收稿日期:2018-02-17
基金项目:国家自然科学基金(71461012),国家社会科学基金(17BXW059)和江西省高校人文社会科学研究一般课题(TQ1404)资助项目.
作者简介:王根生(1974-),男,江西新干人,副教授,博士,主要从事网络舆情、数据挖掘方面的研究.E-mail:wgs74@126.com
更新日期/Last Update: 2018-06-20