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Research on crisis management of enterprise network public opinion
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作者 WANG Ting 《International English Education Research》 2017年第4期53-55,共3页
With the arrival ofthe era from the media, the internet spread over all sectors ofsocicty, affect people's political, economic and cultural life. The network has become the main place, people express their views so a... With the arrival ofthe era from the media, the internet spread over all sectors ofsocicty, affect people's political, economic and cultural life. The network has become the main place, people express their views so also. And the popularity of media enables consumers to easily express their products, services and other aspects of the topic, spread on the network at breakneck speed, and other users of the attention and support, thus forming a kind of public opinion, influence The development of enterprises, which will undoubtedly bring unprecedented pressure, constant attention, coupled with people's comments, forwarding, dissemination media, making the crisis spread, enterprises should not reasonable, effective, will enable enterprises to establish a sense of trust collapsed, brought a negative impact to the enterprise. 展开更多
关键词 network public opinion Crisis management: Countermeasures
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Innovation of Ideological and Political Education in Colleges and Universities from the Perspective of Network Public Opinion
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作者 Haixin Jiang 《Journal of Contemporary Educational Research》 2021年第7期26-30,共5页
In today's era of rapid development of network media,network public opinion has brought great changes to people's lives.As a place of frequent network public opinion,colleges and universities create a more com... In today's era of rapid development of network media,network public opinion has brought great changes to people's lives.As a place of frequent network public opinion,colleges and universities create a more complex and changeable network environment.This is both an opportunity and a challenge to the ideological and political education in universities.Therefore,through a brief introduction of the connotation and characteristics of network public opinion in colleges and universities,this article explores the innovation of ideological and political education in the context of network public opinion in terms of educational concepts,contents,and methods to ensure that this education plays a positive role in the new era. 展开更多
关键词 College network public opinion Ideological and political education INNOVATION
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Hot Events Detection of Stock Market Based on Time Series Data of Stock and Text Data of Network Public Opinion
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作者 Beibei Cao 《Journal of Data Analysis and Information Processing》 2019年第4期174-189,共16页
With the highly integration of the Internet world and the real world, Internet information not only provides real-time and effective data for financial investors, but also helps them understand market dynamics, and en... With the highly integration of the Internet world and the real world, Internet information not only provides real-time and effective data for financial investors, but also helps them understand market dynamics, and enables investors to quickly identify relevant financial events that may lead to stock market volatility. However, in the research of event detection in the financial field, many studies are focused on micro-blog, news and other network text information. Few scholars have studied the characteristics of financial time series data. Considering that in the financial field, the occurrence of an event often affects both the online public opinion space and the real transaction space, so this paper proposes a multi-source heterogeneous information detection method based on stock transaction time series data and online public opinion text data to detect hot events in the stock market. This method uses outlier detection algorithm to extract the time of hot events in stock market based on multi-member fusion. And according to the weight calculation formula of the feature item proposed in this paper, this method calculates the keyword weight of network public opinion information to obtain the core content of hot events in the stock market. Finally, accurate detection of stock market hot events is achieved. 展开更多
关键词 Relationship network public opinion STOCK TRADING Behavior STOCK Market HOT EVENTS
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The Transmission Mechanism and Control Strategy of the Network Public Opinion in Frontier Ethnic Regions
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作者 高颖 《青岛大学学报(自然科学版)》 CAS 2018年第B09期27-32,共6页
Social networking has become an important channel for netizens to express public Opinions and reflect social conditions and public opinions. At the same time, social networks also provide favorable conditions for the ... Social networking has become an important channel for netizens to express public Opinions and reflect social conditions and public opinions. At the same time, social networks also provide favorable conditions for the widespread dissemination of negative information. The spread of negative information will weaken the credibility of the government and affect government decisions. For this reason, the network public opinion transmission mechanism and control strategy in frontier ethnic areas are studied in depth. Through the analysis of the stage of social media public opinion dissemination, a more reasonable social media public opinion dissemination stage model was concluded, and the social media public opinion dissemination mechanism and the linkage mechanism of the dissemination mechanism were derived, which solved the problem of how social media sentiment was disseminated. According to the analysis of the stage characteristics of social media public opinion dissemination , the six stages of public opinion transmission were divided into different levels , and corresponding strategies were proposed for different levels of the dissemination stage. 展开更多
关键词 social network FRONTIER national public opinion TRANSMISSION TRANSMISSION mechanism control STRATEGY
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Research on the Evolution Structure of Fragment Disordering Public Opinion in College Students’ Network Circle Group
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作者 Huawei Zhi Yan Qiao 《Social Networking》 2024年第4期45-65,共21页
Clarifying the evolution structure of public opinion induced and spread by fragmentation in college students’ network circle group is the key to understanding college students’ online social psychological demands, g... Clarifying the evolution structure of public opinion induced and spread by fragmentation in college students’ network circle group is the key to understanding college students’ online social psychological demands, grasping the development trend of public opinion, and designing targeted public opinion governance strategies. On the basis of identifying the key variables in the process of public opinion communication, DEMATEL-ISM model is used to explore the attribute positioning, relative importance level and hierarchical association mechanism of ante-variable and result variable, and then the governance strategies for fragment disordering public opinion in network circle groups of college students is designed. According to the study, exogenous stimuli, the uniqueness of discourse system, the number of spectacular texts and micro-narrative mode constituted the deep-rooted causes of fragment disordering public opinion. The unique situational and information attributes of network circle groups often become an important “booster” of disordered public opinion. The topic deviation is often accompanied with the formation of negative emotions. The corresponding public opinion governance strategies are sought from the aspects of shaping the network environment, adjusting the operation mechanism of the network circle group, improving the efficiency of using fragmented information, and optimizing the human resources of colleges. 展开更多
关键词 College Students’ network Circle Group Fragment Disordering public opinion Governance DEMATEL ISM
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The Research on Social Networks Public Opinion Propagation Influence Models and Its Controllability 被引量:9
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作者 Lejun Zhang Tong Wang +3 位作者 Zilong Jin Nan Su Chunhui Zhao Yongjun He 《China Communications》 SCIE CSCD 2018年第7期98-110,共13页
Public opinion propagation control is one of the hot topics in contemporary social network research. With the rapid dissemination of information over the Internet, the traditional isolation and vaccination strategies ... Public opinion propagation control is one of the hot topics in contemporary social network research. With the rapid dissemination of information over the Internet, the traditional isolation and vaccination strategies can no longer achieve satisfactory results. A positive guidance technology for public opinion diffusion is urgently needed. First, based on the analysis of influence network controllability and public opinion diffusion, a positive guidance technology is proposed and a new model that supports external control is established. Second, in combination with the influence network, a public opinion propagation influence network model is designed and a public opinion control point selection algorithm(POCDNSA) is proposed. Finally, An experiment verified that this algorithm can lead to users receiving the correct guidance quickly and accurately, reducing the impact of false public opinion information; the effect of CELF is no better than that of the POCDNSA algorithm. The main reason is that the former is completely based on the diffusion cascade information contained in the training data, but does not consider the specific situation of the network structure and the diffusion of public opinion information in the closed set. thus, the effectiveness and feasibility of the algorithm is proven. The findings of this article therefore provide useful insights for the implementation of public opinion control. 展开更多
关键词 social network public opinion propagation control influence network
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Predicting Stock Closing Price with Stock Network Public Opinion Based on AdaBoost-AAFSA-Elman Model and CEEMDAN Algorithm
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作者 朱昶胜 康亮河 冯文芳 《Journal of Shanghai Jiaotong university(Science)》 EI 2023年第6期809-821,共13页
To solve low prediction accuracy of Elman in predicting stock closing price,the model of adaptive boosting(AdaBoost)-improved artificial fish swarm algorithm(AAFSA)-Elman based on complete ensemble em-pirical mode dec... To solve low prediction accuracy of Elman in predicting stock closing price,the model of adaptive boosting(AdaBoost)-improved artificial fish swarm algorithm(AAFSA)-Elman based on complete ensemble em-pirical mode decomposition with adaptive noise(CEEMDAN)is proposed.By adding different white noise to the original data,CEEMDAN algorithm is used to decompose attributes serial selected by Boruta algorithm and text mining.To optimize the weight and threshold of Elman,self-adaption step length and view scope are used to improve artificial fish swarm algorithm(AFSA).AdaBoost algorithm is used to compose 5 weak AAFSA-Elman predictors into a strong predictor by continuous iteration.Experiments show that the mean absolute percentage error(MAPE)of AdaBoost-AAFSA-Elman model reduces from 4.9423%to 1.2338%.This study provides an experimental method for the prediction of stock closing price based on network public opinio. 展开更多
关键词 network public opinion CEEMDAN ADABOOST AFSA ELMAN
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Prediction of network public opinion based on bald eagle algorithm optimized radial basis function neural network
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作者 Jialiang Xie Shanli Zhang Ling Lin 《International Journal of Intelligent Computing and Cybernetics》 EI 2022年第2期184-200,共17页
Purpose-In the new era of highly developed Internet information,the prediction of the development trend of network public opinion has a very important reference significance for monitoring and control of public opinio... Purpose-In the new era of highly developed Internet information,the prediction of the development trend of network public opinion has a very important reference significance for monitoring and control of public opinion by relevant government departments.Design/methodology/approach-Aiming at the complex and nonlinear characteristics of the network public opinion,considering the accuracy and stability of the applicable model,a network public opinion prediction model based on the bald eagle algorithm optimized radial basis function neural network(BES-RBF)is proposed.Empirical research is conducted with Baidu indexes such as“COVID-19”,“Winter Olympic Games”,“The 100th Anniversary of the Founding of the Party”and“Aerospace”as samples of network public opinion.Findings-The experimental results show that the model proposed in this paper can better describe the development trend of different network public opinion information,has good stability in predictive performance and can provide a good decision-making reference for government public opinion control departments.Originality/value-A method for optimizing the central value,weight,width and other parameters of the radial basis function neural network with the bald eagle algorithm is given,and it is applied to network public opinion trend prediction.The example verifies that the prediction algorithm has higher accuracy and better stability. 展开更多
关键词 network public opinion COVID-19 Bald eagle algorithm RBF neural network
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The Study of SINA micro-blog Opinion Leaders Effect on Network Public Opinion Transmission
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作者 Ge Tao Xue Chuanye 《International English Education Research》 2015年第3期68-72,共5页
Opinion leaders play a critical role in network public opinion transmission, their perspectives can shape public opinion and influence policy formulation and implementation. The paper is based on SINA micro-blog, by s... Opinion leaders play a critical role in network public opinion transmission, their perspectives can shape public opinion and influence policy formulation and implementation. The paper is based on SINA micro-blog, by structural equation model, as Fudan Poisoning Event for example, On the basis of in-depth analysis of opinion leaders effect on network public opinion transmission characteristics, Explore the opinion leaders on the influence of network public opinion transmission mechanism, in order to better play a role of opinion leader's guidance of public opinion. 展开更多
关键词 opinion leaders network public opinion SINA micro-blog transmission structural equation model
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Research on Public Opinion Transmission and Evolution Mechanism in Network
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作者 Zhang Fangyuan 《International English Education Research》 2014年第2期35-38,共4页
As the Internet continues to expand, the influence of network information on real life has gradually deepened. Research on propagation and evolution of Internet public opinion has become a hot topic. The force of inte... As the Internet continues to expand, the influence of network information on real life has gradually deepened. Research on propagation and evolution of Internet public opinion has become a hot topic. The force of intemet public opinion penetrates and influences on every aspect of the society. Compared with traditional public opinion, the network public opinion has features of immediate, multivariate and interactive, the propagation behavior has the new change compared with the traditional public opinion. In the propagation behavior of network public opinion, agenda setting is no longer an arbitrary, the influence of opinion leaders in the agenda setting becomes more and more complex and diversified. The formation time of network public opinion is short, and social influence becomes strong. Guide the public opinion to build a harmonious environment of network public opinion. Overall, our country' s network public opinion environment is a benign situation and steadily promoting the reforms of public policies. Although there is still a few not rational voices full of them, the network public opinion shows a general trend of positive thinking. Based on this philosophy, through the research of network public opinion dissemination and evolution mechanism, can be all-round good guidance and supervision of public opinion, building a harmonious network environment of public opinion. 展开更多
关键词 network public opinion propagation of intemet public opinion evolution of intemet public opinion
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Two-Layer Coupled Network Model for Topic Derivation in Public Opinion Propagation 被引量:8
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作者 Yuexia Zhang Yixuan Feng 《China Communications》 SCIE CSCD 2020年第3期176-187,共12页
In view of the fact that news can generate derivative topics when it spreads through micro-blogs,a two-layer coupled SEIR public opinion propagation model is proposed in this paper.The model divides the process of pub... In view of the fact that news can generate derivative topics when it spreads through micro-blogs,a two-layer coupled SEIR public opinion propagation model is proposed in this paper.The model divides the process of public opinion propagation into two layers:the original topic layer and the derived topic layer.Messages are transmitted separately by the SEIR model in the two topic layers,which are independent and interactive.The influence of the topic derivation rate on the propagation trend is established by solving for the equilibrium point and propagation threshold.Further,we establish the relationship between the original topic and the derived topic by simulation.This paper uses the Baidu index to demonstrate the correctness of the model.The relationship between the derived topic and the original topic is verified by adjusting the parameters by the control variable method.The results show that the proposed model is consistent with the propagation of actual public opinion. 展开更多
关键词 complex network public opinion PROPAGATION SEIR model
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Simulating the Spreading of Two Competing Public Opinion Information on Complex Network 被引量:9
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作者 Mengshu Xie Zhen Jia +1 位作者 Yanfei Chen Qixiang Deng 《Applied Mathematics》 2012年第9期1074-1078,共5页
In this paper, we investigate the regularity of spreading of information and public opinions towards two competing products in complex networks. By building its mathematical model and simulating its evolution process,... In this paper, we investigate the regularity of spreading of information and public opinions towards two competing products in complex networks. By building its mathematical model and simulating its evolution process, we have found the statistical regularity for support rates of two different products at a steady stage. The research shows that strength of the public opinion spreading is proportional to the final support rates of a product. 展开更多
关键词 COMPLEX network public opinion INFORMATION Competing SPREADING
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Research on Public Opinion of Network Mass Incident
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作者 Muqing Zhan Ronghua Lu 《Journal of Zhouyi Research》 2014年第1期21-23,共3页
关键词 群体性事件 网络 社会变革 结构调整 中国
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The Study of SINA micro-blog Opinion Leaders Effect on Network Public Opinion Transmission
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作者 Ge Tao Xue Chuanye 《Journal of Zhouyi Research》 2014年第6期68-72,共5页
关键词 领袖 网络 传播 博客 新浪 结构方程模型 中毒事件 复旦大学
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Research on Prediction of Sentiment Trend of Food Safety Public Opinion
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作者 Chaofan Jiang Hu Wang +1 位作者 Changbin Jiang Di Li 《Journal of Computer and Communications》 2023年第3期189-201,共13页
Emotion has a nearly decisive role in behavior, which will directly affect netizens’ views on food safety public opinion events, thereby affecting the development direction of public opinion on the event, and it is o... Emotion has a nearly decisive role in behavior, which will directly affect netizens’ views on food safety public opinion events, thereby affecting the development direction of public opinion on the event, and it is of great significance for food safety network public opinion to predict emotional trends to do a good job in food safety network public opinion guidance. In this paper, the dynamic text representation method XLNet is used to generate word vectors with context-dependent dependencies to distribute the text information of food safety network public opinion. Then, the word vector is input into the CNN-BiLSTM network for local semantic feature and context semantic extraction. The attention mechanism is introduced to give different weights according to the importance of features, and the emotional tendency analysis is carried out. Based on sentiment analysis, sentiment value time series data is obtained, and a time series model is constructed to predict sentiment trends. The sentiment analysis model proposed in this paper can well classify the sentiment of food safety network public opinion, and the time series model has a good effect on the prediction of food safety network public opinion sentiment trend. . 展开更多
关键词 network public opinion Sentiment Analysis Time Series Prediction XLNet
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Online Public Opinion Guidance Strategy for College Students in the Era of We Media
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作者 Yan Wu Yujiao Song +2 位作者 Fang Wang Yanying Zhou Mengshan Li 《Journal of Computer and Communications》 2019年第12期79-87,共9页
In the era of We Media, online public opinion in colleges and universities has become an important front of ideological and political, with some characteristics such as concealment, diversity and sensitivity, interact... In the era of We Media, online public opinion in colleges and universities has become an important front of ideological and political, with some characteristics such as concealment, diversity and sensitivity, interaction and immediacy of communication. It is urgent to carry out some researches about network public opinion analysis and guidance mechanism. It is a new challenge that the ideological and political education in colleges and universities, must face how to guide online public opinion effectively. The team building should be strengthened and the right of public opinion should be returned. The platform construction should be enriched, and it is important to give the chance to various media. Therefore, it should strengthen the mechanism construction, and public opinion guidance must be scientific and professional. Colleges and universities should build a clear network space from such aspects as the construction of network public opinion guidance institutions, the cultivation of opinion leaders, the perfection of early warning mechanism, the improvement of university network literacy and the guidance of campus media. 展开更多
关键词 COLLEGE Students We Media ERA network public opinion Early WARNING
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突发事件网络舆情主题演化聚焦特征研究——以“河南暴雨事件”为例
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作者 李燕凌 伍可欣 《灾害学》 北大核心 2025年第1期207-212,共6页
通过生命周期理论,对突发事件网络舆情情感变化推动主题演化聚焦的特征进行分阶段研究,有利于了解政府和媒体如何进行突发事件网络舆情引导。该文以“河南暴雨事件”为例,运用情感词典识别各阶段情感倾向,运用LDA模型分析各阶段舆情主题... 通过生命周期理论,对突发事件网络舆情情感变化推动主题演化聚焦的特征进行分阶段研究,有利于了解政府和媒体如何进行突发事件网络舆情引导。该文以“河南暴雨事件”为例,运用情感词典识别各阶段情感倾向,运用LDA模型分析各阶段舆情主题,结合生命周期理论划分舆情生命周期,总结突发事件网络舆情情感变化推动主题随生命周期演化聚焦的特征。研究表明,在潜伏期和萌动期,网民情感由负面转向中性,主题聚焦于应急保障;加速期和成熟期,情感由负面转向正面,主题关注应急救援;消退期,情感以中性和正面为主,主题转向应急修复。政府和媒体在各阶段有效引导了舆情。研究为舆情监管部门提供了网民情感变化与主题演化的洞察,为提高舆情引导能力提供了方法指导。 展开更多
关键词 突发事件 网络舆情 主题演化
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基于耦合网络的舆情观点演化机制分析
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作者 刘继 郭一凡 《情报杂志》 北大核心 2025年第2期136-143,182,共9页
[研究目的]在互联网时代,舆情观点演化并非局限于单一网络环境,而是在多个网络环境交织互动中协同演进。分析舆情观点在耦合网络中的演化机制,对提升舆情治理能力具有重要意义。[研究方法]根据社交网络结构特点设计了线上网络为BA无标... [研究目的]在互联网时代,舆情观点演化并非局限于单一网络环境,而是在多个网络环境交织互动中协同演进。分析舆情观点在耦合网络中的演化机制,对提升舆情治理能力具有重要意义。[研究方法]根据社交网络结构特点设计了线上网络为BA无标度网络,线下网络为WS小世界网络的线上线下耦合网络架构。结合影响力与Deffuant模型构建线上观点演化模型,结合影响力和沉默螺旋理论构建线下观点演化模型,基于用户倾向程度构建层间观点演化模型。[研究结果/结论]通过模型参数配置并进行仿真实验,对不同参数配置下的观点演化进行分析。研究结果表明,所构建的观点演化模型能更好地反映线上线下耦合网络中舆情观点演化的复杂特性,为网络舆情演化分析提供有力支持。 展开更多
关键词 耦合网络 网络舆情 舆情观点 舆情监控 演化机制 Deffuant模型
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基于改进标签传播算法的舆情社交网络社区发现
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作者 钱晓东 王卓 《计算机应用研究》 北大核心 2025年第1期48-55,共8页
通过改进的标签传播算法研究了舆情社交网络中的社交主题发现。针对传统算法容易陷入局部最优的问题,依据节点间相似度选择标签传播时的邻居节点;针对传统算法标签更新时的随机性问题,通过结合舆论动力学模型HK的观点交互过程,依据节点... 通过改进的标签传播算法研究了舆情社交网络中的社交主题发现。针对传统算法容易陷入局部最优的问题,依据节点间相似度选择标签传播时的邻居节点;针对传统算法标签更新时的随机性问题,通过结合舆论动力学模型HK的观点交互过程,依据节点影响力的大小更新标签。实验结果表明,该方法在最好情况下(k=0.9)相较于原算法,在稳定性和模块度指标两方面分别提高了31%和78%,并且优于其他几种改进算法。由此可见,该算法相较于原算法及其他改进算法在舆情社交网络的主题社区发现中表现更好。 展开更多
关键词 标签传播算法 舆情社交网络 HK模型 主题社区发现
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全媒体时代武术文化传播的机遇、困境与纾解路径
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作者 姚振兴 赵发田 李蕾 《湖北体育科技》 2025年第1期27-31,78,共6页
武术是中华民族传统文化的瑰宝,但其在文化传播过程中存在传播边缘化、内容浅层次、碎片化、主流话语弱化、路径窄化等问题。全媒体时代的到来,有助于创新武术文化传播载体、实现武术文化话语转向、推动武术文化传播效果精准化,为武术... 武术是中华民族传统文化的瑰宝,但其在文化传播过程中存在传播边缘化、内容浅层次、碎片化、主流话语弱化、路径窄化等问题。全媒体时代的到来,有助于创新武术文化传播载体、实现武术文化话语转向、推动武术文化传播效果精准化,为武术文化的传播带来了新的历史机遇。具体纾解路径体现为:转变策略,提升武术文化核心竞争力;增强叙事,完善武术文化内容完整性;强化引导,营造武术文化健康网络舆论生态;载体并联,构建武术文化传播矩阵。 展开更多
关键词 全媒体时代 武术文化 主流话语权 网络舆论
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