scholarly journals Identifying Network Public Opinion Leaders Based on Markov Logic Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Weizhe Zhang ◽  
Xiaoqiang Li ◽  
Hui He ◽  
Xing Wang
Keyword(s):  
Public Opinion ◽  
Data Acquisition ◽  
Opinion Leader ◽  
Development Trend ◽  
Recognition System ◽  
Opinion Leaders ◽  
Relational Model ◽  
Markov Logic Networks ◽  
Traditional Methods ◽  
Markov Logic

Public opinion emergencies have important effect on social activities. Recognition of special communities like opinion leaders can contribute to a comprehensive understanding of the development trend of public opinion. In this paper, a network opinion leader recognition method based on relational data was put forward, and an opinion leader recognition system integrating public opinion data acquisition module, data characteristic selection, and fusion module as well as opinion leader discovery module based on Markov Logic Networks was designed. The designed opinion leader recognition system not only can overcome the incomplete data acquisition and isolated task of traditional methods, but also can recognize opinion leaders comprehensively with considerations to multiple problems by using the relational model. Experimental results demonstrated that, compared with the traditional methods, the proposed method can provide a more accurate opinion leader recognition and has good noise immunity.

Influence Diffusion Model Based on Semantic Orientation and its Application in Opinion Leader Identification

2014 ◽  
Vol 571-572 ◽  
pp. 223-231
Author(s):  
Li Li Dong ◽  
Fan Rong Zhao ◽  
Xiang Zhang ◽  
Yu Jie Zhu
Keyword(s):  
Communication Network ◽  
Public Opinion ◽  
Interpersonal Communication ◽  
Diffusion Model ◽  
Opinion Leader ◽  
Opinion Leaders ◽  
Social Significance ◽  
Model Based ◽  
Influence Diffusion ◽  
Semantic Orientation

As the pivotal intermediary guiding public opinion in the interpersonal communication network, opinion leader’s discovery and identification have great social significance. Aiming at the existing problem of IDM models and its related model, this paper proposed a Influence diffusion model based on semantic orientation, which combines semantic understanding to reduce the diffusion of mendacious influence, analyzing text orientation to quantify the emotional intention, using reply structure to calculate diffused influence, then identifying the network opinion leaders. Experiments indicated that this method can improve the accuracy of opinion leader identification effectively.

Detecting Opinion Leaders in Online Communities Based on an Improved PageRank Algorithm

2014 ◽  
Vol 543-547 ◽  
pp. 3524-3527 ◽  
Author(s):  
Lin Cheng Jiang ◽  
Fang Fang Li ◽  
Bin Ge ◽  
Wei Dong Xiao ◽  
Jiu Yang Tang ◽  
...  
Keyword(s):  
Public Opinion ◽  
Web 2.0 ◽  
Online Communities ◽  
Rapid Development ◽  
Opinion Leader ◽  
Opinion Leaders ◽  
The Public ◽  
Pagerank Algorithm ◽  
Public Sentiment ◽  
Detecting Method

With the rapid development of web 2.0, online communities have become an important way to disclosure and spread the public sentiment. Opinion leaders in online communities play an important role during the formation of public opinion. The paper designs and implements an opinion leader detecting method based on an improved PageRank algorithm. The improved PageRank algorithm uses link relevance to define the weight of the link between users. The first step is crawling data from online communities and preprocessing them. Then construct the weight matrix by calculating link relevance between users. Finally, use the improved PageRank algorithm to rank users and detect opinion leaders. The experimental results show that, compared with the baselines, the proposed method can effectively identify opinion leaders in online communities.

scholarly journals Functions of the opinion leader and he or she performs

2015 ◽  
pp. 1-25
Author(s):  
Diana Liepinytė-Kytrienė
Keyword(s):  
Public Opinion ◽  
Opinion Leader ◽  
Opinion Leaders ◽  
The Public ◽  
Aesthetic Appeal ◽  
Social Decisions ◽  
Media Channels ◽  
Year 2013

The aim of the article is to describe the functions of the opinion leader and he or she performs. The news portal „Delfi.lt“ articles from the year 2013, in which the most popular (according to the data of the survey company TNS LT) opinion leaders express their views serve as a basis in the article. Theoretical presumptions that their personal opinions shape the public opinion, affect social decisions and actions, are applied. Although the opinion leaders achieve popularity firstly through social activeness; however, for the purpose of persuasiveness an important role is attributed to linguistic peculiarities. In many cases, they determine the aspects the readers are to notice and remember. A person working towards becoming an opinion leader must meet the requirements of media channels, observe the general oratory requirements (language regularity, purity, clarity, simplicity, consistency, vividness, appropriateness, and aesthetic appeal), and fulfil the main functions of his or her text: to explain, prove, and persuade.

A Comparative Content Analysis of Physician, General Public and Media Opinion Leader Posts Regarding Physician-patient Conflicts on Microblog (Preprint)

2020 ◽  
Author(s):  
Wanqi Gong ◽  
Qin Guo
Keyword(s):  
Content Analysis ◽  
Public Opinion ◽  
General Public ◽  
Public Perception ◽  
Medical Science ◽  
Popular Science ◽  
Opinion Leaders ◽  
Objective Evidence ◽  
Comparative Content ◽  
Physician Patient

BACKGROUND Physician-patient conflicts have increased more than ten times from the 2000s to 2010s in China and arouse heated discussion on microblog. However, little is known about similarities and differences among views of opinion leaders from the general public, physician, and media regarding physician-patient conflict issues on microblog. OBJECTIVE This study aimed to explore how opinion leaders from physician, the general public, and media areas framed the posts on major physician-patient conflict issues on microblog. Findings will provide more objective evidence of trilateral (health profession, general public, and media) attitudes and perspectives on physician-patient conflicts. METHODS A comparative content analysis was conducted to examine the posts (N=545) from microblog opinion leaders regarding the major physician-patient conflicts in China from 2012 to 2017. RESULTS Media used significantly more conflict (M=0.16) and attribution frames (M=0.16) but least popularize medical science frame (M=0.03) than physician (M=0.06, p<0.001; M=0.06, p<0.001; M=0.08, p=0.035, respectively) and general public opinion leaders (M=0.06, p<0.001; M=0.09, p=0.003; M=0.12, p<0.001, respectively). There are no significant differences in the use of conflict, cooperation, negative and popular science frames between general public and physician opinion leaders. CONCLUSIONS This imbalanced use of frames by media would cultivate and reinforce the public perception of physician-patient contradiction. The physician and general public opinion leaders share some commons in post frames, implying that they do not have a fundamental discrepancy on physician-patient conflict issues. It is essential to guide and encourage media microbloggers to make every effort to popularize medical science and improve physician-patient relationships.

Inside Trending Topic Algorithm: How Do Human Interactions Drive Public Opinion in an Artificial Environment

2021 ◽  
pp. 089443932110415
Author(s):  
Vanessa Russo ◽  
Emiliano del Gobbo
Keyword(s):  
Public Opinion ◽  
Semantic Network ◽  
Opinion Leader ◽  
Computational Techniques ◽  
Data Sets ◽  
Process Data ◽  
Data Set ◽  
Social Actors ◽  
Human Interactions ◽  
Artificial Environment

The object of this research is to exploit the algorithm of Twitter’s trending topic (TT) and identify the elements capable of guiding public opinion in the Italian panorama. The underlying hypotheses that guide the whole article, confirmed by the research results, concern the existence of (a) a limited number of elements at the base of each popular hashtag with very high viral power and (b) hashtags transversal to the themes detected by the Twitter algorithm that define specific opinion polls. Through computational techniques, it was possible to extract and process data sets from six specific hashtags highlighted by TT. In a first step through social network analysis, we analyzed the hashtag semantic network to identify the hashtags transversal to the six TTs. Subsequently, we selected for each data set the contents with high sharing power and created a “potential opinion leader” index to identify users with influencer characteristics. Finally, a cross section of social actors able to guide public opinion in the Twittersphere emerged from the intersection between potentially influential users and the viral contents.

Profiling the Users of High Influence on Social Media in the Context of Public Events

2021 ◽  
Vol 32 (2) ◽  
pp. 36-49
Author(s):  
Lu An ◽  
Junyang Hu ◽  
Manting Xu ◽  
Gang Li ◽  
Chuanming Yu
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Emergency Management ◽  
Emotional Support ◽  
Opinion Leader ◽  
Negative Effects ◽  
The Public ◽  
Public Events ◽  
Social Media Platforms ◽  
Influential Users

The highly influential users on social media platforms may lead the public opinion about public events and have positive or negative effects on the later evolution of events. Identifying highly influential users on social media is of great significance for the management of public opinion in the context of public events. In this study, the highly influential users of social media are divided into three types (i.e., topic initiator, opinion leader, and opinion reverser). A method of profiling highly influential users is proposed based on topic consistency and emotional support. The event of “Jiankui He Editing the Infants' Genes” was investigated. The three types of users were identified, and their opinion differences and dynamic evolution were revealed. The comprehensive profiles of highly influential users were constructed. The findings can help emergency management departments master the focus of attention and emotional attitudes of the key users and provide the method and data support for opinion management and decision-making of public events.

Research of Public Opinion Based on Opinion Leaders and Saturated Contact Rates

2021 ◽  
Author(s):  
Shan Liu ◽  
Chenyang Qian ◽  
Qiting Tan ◽  
Miaoru Zhang ◽  
Rui Xia ◽  
...  
Keyword(s):  
Public Opinion ◽  
Opinion Leaders ◽  
Contact Rates

Online Opinion Leaders in the Health Promotion Digital Era

2021 ◽  
Vol 37 (4) ◽  
pp. 295-309
Author(s):  
Joyce Cheah Lynn-Sze ◽  
◽  
Azlina Kamaruddin ◽  
Keyword(s):  
Public Health ◽  
Decision Making ◽  
Social Media ◽  
Health Promotion ◽  
Health Communication ◽  
Opinion Leader ◽  
Well Being ◽  
Opinion Leaders ◽  
Structured Interviews ◽  
The Public

Health opinion leaders have widely embraced social media for health promotion and public health communication which can make a strong influence on the public decision making. However, despite the growing relevance of public health threats such as infectious diseases, pandemic influenza and natural disasters, research has paid little attention to the qualities of opinion leaders. Moreover, there is limited evidence that public health organisations use social media appropriately to engage in meaningful conversations with audiences. Thus, the aims of the study are to describe principles of communication practised by online opinion leaders to promote health issues, to discuss the strategies of social media used, to explain the opinion leaders’ influence attributes in health decision making and finally to develop a model of online opinion leader in the contemporary health promotion era. Content analysis was conducted on Facebook postings of five selected health opinion leaders. In addition, semi-structured interviews with 10 followers were conducted. The findings of the study revealed that there are three principles of communication practised by online opinion leaders, which are language, interaction and themes. There are three strategies opinion leaders use to influence the public: social connectivity, social support and social consultation. Furthermore, there are five opinion leaders’ attributes that influence the public’s decision making, namely personality, authenticity, trust/credibility, professional knowledge and social position. The model would be beneficial in educating and guiding the current public health opinion leaders in order to establish health and social well-being. Keywords: Online opinion leader, online health communication, public health, two-step flow theory, decision making.

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