About
43
Publications
7,609
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
590
Citations
Introduction
Social media data provide a new way to invesitgate public attitudes toward certain events or policies. Using this kind of dataset, we mainly focus on four researching points, namely, opinion dynamics, information spreading, communication network, and policy-based case study.
Current institution
Additional affiliations
July 2020 - November 2020
Publications
Publications (43)
In the digital era, effectively managing rumors on social media during public health emergencies remains a significant challenge, highlighting a gap in understanding the optimal strategies for refutation. This study used the COVID-19 pandemic as a case to explore the effectiveness of different rumor refutation strategies on social media during acut...
This paper investigates how Weibo serves as a symbolic space for Chinese public opinion on the October 2023 Israeli-Palestinian conflict through a text mining analysis of Weibo posts. Using Named Entity Recognition, emotion analysis, topic clustering, and opinion mining, the study reveals key themes, entities, and emotional responses among Chinese...
This research examines the impact of fake reviews on consumer satisfaction within the e-commerce domain, using a dataset from JD.com to develop three statistical models. The analysis reveals that although fake reviews initially boost product evaluations, consumers eventually recognize the falsehoods, leading to diminished satisfaction and trust in...
In times of crisis, social media emerges as a pivotal channel for government-public communication. This study delves into the dynamics of a temporal weighted network on Weibo, analyzing 39,567,227 reposted data points related to the COVID-19 pandemic, specifically during its critical early stage. We examine the information dissemination roles of ei...
ChatGPT, an innovative artificial intelligence language model, is attracted significant attention around the world, sparking both enthusiasm and controversy, but identifying its societal impact and addressing its potential concerns necessitate an understanding of the prevailing public’s attitudes toward the tool. In this study, we leverage text min...
Blockchain technology (BCT) has the potential to revolutionize the supply chain financing (SCF) system and mitigate the detrimental effects of demand volatility on SCF. As one of the first to examine the effects of BCT implementation in SCF from the perspective of demand volatility, we focus on the impacts of BCT on equilibrium and whether the reta...
E-commerce has the potential to address problems in the agricultural supply chain and support the implementation of rural revitalization strategies. Previous research has largely focused on the business models of rural e-commerce platforms, but has not examined the mechanisms by which they can optimize and reconfigure the agricultural supply chain....
Disclosure of patients' travel route information by government departments has been an effective and indispensable pandemic prevention and control measure during the COVID-19 pandemic. However, this measure may make patients susceptible to cyber violence (CV). We selected 13 real cases that occurred in China during the COVID-19 pandemic for analysi...
In this paper, we propose a coronavirus disease (COVID-19) epidemiological model called SEIR-FMi (Susceptible-Exposed-Infectious-Recovery with Flow and Medical investments) to study the effects of intra-city population movement, inter-city population movement, and medical resource investment on the spread of the COVID-19 epidemic. We theoretically...
In this paper, we present a study on keyword selection behavior in social media analysis that is focused on particular topics, and propose a new effective strategy that considers the co-occurrence relationships between keywords and uses graph-based techniques. In particular, we used the normalized rich-club connectivity considering the weighted deg...
Unrelated discrete opinions can be generally found in social media-based data about a certain topic, which cannot be well measured and analyzed using existing opinion dynamics models. To fill this gap, this study proposes a new discrete opinion dynamics model based on the sentiment–opinion transformation mechanism. In the model, a matrix formulatin...
Following the onset of COVID-19 pandemic, increasing the degree of public engagement is a crucial task for governments. This study investigated the moderating effects of entertainers on public engagement through government activities during COVID-19 pandemic. The government activities were publicized through the government’s social media posts. The...
![A simple form of online public opinion supernetwork model [7] Notes (1)...](publication/350061771/figure/fig2/AS:11431281360340499@1744095970277/A-simple-form-of-online-public-opinion-supernetwork-model-7-Notes-1-Social_Q320.jpg)
Based on the supernetwork theory, a two-step rumor detection model was proposed. The first step was the classification of users on the basis of user-based features. In the second step, non-user-based features, including psychology-based features, content-based features, and parts of supernetwork-based features, were used to detect rumors posted by...
Compared with survey polls, social media can yield a better and more comprehensive understanding of public perceptions of special topics in a more scientific manner. However, despite this advantage, there seem to be limited investigations into the challenges in social media-based public opinion analysis. This study offers an understanding of the ch...
Workplace violence against healthcare workers has been a major social problem in many countries. A misunderstanding between patients and physicians is the primary cause of violence. The recent rise of social media offered a new channel of communication between the government and the public. This study aims to explore and examine the use of social m...
The objective of this paper is to identify whether the interorganization of healthcare providers in China had the global property of an oligopoly market tendencies by analyzing the rich-club phenomenon of patient flow. This paper examines the properties of patient transfer networks in an entire province of China using social network analysis. Hyper...
Objective: Determining geographical distribution and local dietary patterns involved in being obese is useful for designing intervention strategies. Methods: We selected residents between 18 and 65 years old from 11 Chinese provinces to compare dietary patterns and BMI from the China Health and Nutrition Survey packages in 2011. We used linear and...
The selection of stock portfolio and the measurement of risk are of great significance in investments. Based on the entropy model and the CVaR function, this paper proposed a new multi-objective portfolio optimization model. In addition, a combination of fuzzy set theory and particle swarm optimization algorithm is employed to solve the model. By u...
Objective: We studied the effect of mothers' dietary patterns on their children's nutritional status. Methods: Based on the China Health and Nutrition Survey (CHNS) packages in 2004, 2006, 2009, and 2011, mothers' dietary quality scores were calculated using the Dietary Balance Index-07. We further explored the influence of maternal dietary pattern...
Objectives: The geographical environment, dietary culture, food patterns, and obesity rates are substantially different between the North and South of China. Determining the geographical distribution and local dietary patterns involved in being overweight or obese is useful for designing intervention strategies.
Methods: Residents between 18 and 65...
On September 16, 2018, Typhoon Mangkhut, with record sustained winds of an estimated 110–115 mph, struck southern China, causing tremendous damage to the region. Since then, there have been many online discussions about the typhoon and how the government responded to it. In the domain of emergency response to disasters, the increasingly prominent r...
High-speed rail has become a beautiful business card on behalf of China. However, some quality problems contained in high-speed rail catering, such as "box lunches got mildewed", have been frequently blamed by the public. With the continuous promotion of reform measures, including but not limited to the delivery of online reservation service and th...
Online public opinions refer to the attitude of the public towards certain events or topics in social media and have informative significance for social governance and the formulation of public policies. Previous studies have proved the important role played by online public opinions in expert systems from which the prediction of online public opin...
Background:
It is believed that parents have a great influence on their children's dietary behaviours. However, it is not clear whether parental food patterns are associated with children's nutritional status in China, which includes a vast territory with rich, diverse cultures. The goal of this project is to systematically study the associations...
Research on medical practice that uses big data has attracted considerable attention recently. In this paper, we focused on a large set of patient referral data gathered in Fujian province, China, between 2009 and 2011. We built a directed weighted patient referral network. By using four metrics from network science, namely, the power-law distribut...
Understanding the perception of patients towards the quality of hospitals is critical to policy development and improvement. However, there remains a dearth of literature examining the impact of the new health reform launched by China's government in 2009 on the changes of the patient satisfaction. Thus, the aim of this paper was to evaluate long-t...
Entrepreneurial followers are defined as the crucial members of a specific entrepreneurial team and do not include the leader or normal employees in the present paper. This population can be viewed as indispensable factors in the success of entrepreneurship, especially in the start-up stage. In addition, according to the following time, they can be...
The emergence of Internet water armies has strongly affected the information quality of online communication platforms, thus disrupting the order of the Internet. Accurate detection of Internet water armies is therefore of great significance. Based on the supernetwork theory, a new Internet water army detection model is proposed in this paper, in w...
Calculations were conducted concerning the degree distribution functions of four models with an S-shaped growth characteristic and the preferential attachment rule, based on the mean field theory. Of these models, Model 1 displays the simplest sigmoid function, Model 2 and Model 3 are two extended models, and Model 4 depicts the law of population f...
In an era of big data, explosive growth of online posts makes the judgment of their qualities harder while more important. In many cases, people want to quickly identify those most informative posts, which contain details, insights or in-depth criticisms, to help them make better decisions. To meet this demand, a three-stage model is proposed. Firs...
Gushes of Internet public opinions may trigger unexpected incidents that significantly affect social security and stability, especially for ones caused by the failure of public policies. Therefore, forecasting this kind of Internet public opinions is of great significance. The duration could be cited as one of the most direct indicators that can re...
This paper is an effort to identify the factors that may affect the duration of network public opinions caused by failed public policies, and accordingly to propose a model that could predict the duration before the release of policies, in order to provide some rational suggestions to decision makers to reduce the risk of publishing public policies...
China's 13 th Five-Year period(2016-2020)is the critical period for building a moderately prosperous society,requiring local governments to abandon the only GDP rate theory and cite the " new normal" economic transformation as the kernel in development.In addition,the proportion of the Tertiary Industry should be increased as well in order to integ...
The Internet forms a platform featured with high liquidity, accessibility and concealment for the public to express their respective views on certain events, thus leading to a large network graph. Due to such environmental features, the public opinions formed on the Internet are different from those on traditional media. Studies focusing on the for...
