Enhancing decision-making support by mining social media data with social network analysis [0.03%]
基于社会网络分析挖掘社交媒体数据以增强决策支持能力
Manuela Freire,Francisco Antunes,João Paulo Costa
Manuela Freire
This paper explores the use of social network analysis (SNA) on airlines' online social networks (OSNs) to extract valuable information for decision support, by analyzing interactions and discursive exchanges between users. The research is ...
COVID-19 vaccination perception and outcome: society sentiment analysis on twitter data in India [0.03%]
印度COVID-19疫苗接种感知与结果：来自Twitter数据的社会情绪分析
Anushtha Vishwakarma,Mitali Chugh
Anushtha Vishwakarma
This study examines the perceptions and results of COVID-19 immunization using sentiment analysis of Twitter data from India. The tweets were collected from January 2021 to March 2023 using relevant hashtags and keywords. The dataset was pr...
Sentiment analysis algorithm using contrastive learning and adversarial training for POI recommendation [0.03%]
基于对抗学习的POI推荐情感分析算法
Shaowei Huang,Xiangping Wu,Xiangyang Wu et al.
Shaowei Huang et al.
Finding a suitable POI based on the user's needs and intentions is a complex decision-making process. Obtaining valuable information from the vast amount of social media data and using it for travel recommendations is a challenging issue. T...
Analysis and mining of an election-based network using large-scale twitter data: a retrospective study [0.03%]
基于大规模Twitter数据的选举网络分析与挖掘：回顾性研究
Amartya Chakraborty,Nandini Mukherjee
Amartya Chakraborty
The user-generated Twitter data are a rich source of study and research that reflects the various social, economic, political, and other issues affecting people across the world. Analysis of the social interactions among users, who express ...
Mohammed Abdelhay,Ammar Mohammed,Hesham A Hefny
Mohammed Abdelhay
Since the COVID-19 pandemic, healthcare services, particularly remote and automated healthcare consultations, have gained increased attention. Medical bots, which provide medical advice and support, are becoming increasingly popular. They o...
Calling for justice with #JusticeforBreonnaTaylor: a case study of hashtag activism in the evolution of the black lives matter movement [0.03%]
“争取正义：#JusticeforBreonnaTaylor 主题标签活动主义与黑人的命也是命运动的发展”的案例研究
Miyoung Chong
Miyoung Chong
Taking a stage-based approach, before and after the release of the 15-h audio recording files of the grand jury's inquiry on the Breonna Taylor case on October 2, 2020, this study examined the #JusticeforBreonnaTaylor Twitter networks. By e...
Social network analysis of Twitter interactions: a directed multilayer network approach [0.03%]
推特互动的社交网络分析：一种有向多层网络的方法
Austin P Logan,Phillip M LaCasse,Brian J Lunday
Austin P Logan
Effective employment of social media for any social influence outcome requires a detailed understanding of the target audience. Social media provides a rich repository of self-reported information that provides insight regarding the sentime...
COVID-19 vaccine rejection causes based on Twitter people's opinions analysis using deep learning [0.03%]
基于推特用户观点的新冠疫苗拒接原因分析（使用深度学习）
Wafa Alotaibi,Faye Alomary,Raouia Mokni
Wafa Alotaibi
According to the World Health Organization, vaccine hesitancy was one of the ten major threats to global health in 2019, including the COVID-19 vaccine. The availability of vaccines does not always mean utilization. This is because, people ...
Network-based control of epidemic via flattening the infection curve: high-clustered vs. low-clustered social networks [0.03%]
基于网络的流行病控制方法：通过压平感染曲线来控制高聚类和低聚类社交网络中的流行病传播
Mohammadreza Doostmohammadian,Hamid R Rabiee
Mohammadreza Doostmohammadian
Recent studies in network science and control have shown a meaningful relationship between the epidemic processes (e.g., COVID-19 spread) and some network properties. This paper studies how such network properties, namely clustering coeffic...
Pattern of Facebook use by university students during the COVID-19 pandemic: relations with loneliness and resilience [0.03%]
新冠疫情下大学生使用Facebook的情况及其与孤独感和复原力的关系模式研究
Thanos Touloupis,Maria Sofologi,Dimitrios Tachmatzidis
Thanos Touloupis
Considering young adults' extensive use of social media since the outbreak of the COVID-19 pandemic, the present study examined the pattern of Facebook use by university students during the period of hygienic crisis. Specifically, it was in...