Superedge coupling algorithm and its application in coupling mechanism analysis of online public opinion supernetwork

被引：45

作者：

Wang, Guanghui ^{[1
,2
,3
]}

Liu, Yijun ^{[1
,2
]}

Li, Jimei ^{[4
]}

Tang, Xianyi ^{[1
,2
]}

Wang, Hongbing ^{[1
,2
]}

机构：

[1] Chinese Acad Sci, Inst Policy & Management, Beijing 100190, Peoples R China

[2] CAS Ctr Interdisciplinary Studies Social & Nat Sc, Beijing 100190, Peoples R China

[3] Univ Chinese Acad Sci, Beijing 100190, Peoples R China

[4] Beijing Municipal Inst Labour Protect, Beijing 100054, Peoples R China

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2015年 / 42卷 / 05期

基金：

中国国家自然科学基金;

关键词：

Opinion dynamic; Coupling mechanism; Public opinion supernetwork; Superedge coupling algorithm; Online public opinion; SIMILARITY; ATTRACTION; DISTANCE; ATTITUDES; CONSENSUS; MINORITY; NETWORK; COMPLEX; IMPACT; LEADER;

D O I：

10.1016/j.eswa.2014.11.026

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Fast developing internet has gradually become the main media port for public opinion. From its evolution, public opinion has been able to voice concerns immediately, adding to the lack of credibility of information being exchanged. The phenomenon has drawn increasing attention from social scientists from around the world. This paper focuses on coupling mechanism of online public opinion events. First, a supernetwork model of online public opinion is built. Then, according to the law of attraction of opinions, a superedge coupling algorithm is proposed. Using this algorithm, we calculate the coupling among several online public opinion events. The result indicates that online opinion cases of similar type of events have a stronger coupling, while cases with opposite psychological types also couple strongly. Besides, online events coupling undergo several different stages, in which the strengths of coupling are quite different. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：2808 / 2823

页数：16

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