Investigating internal migration with network analysis and latent space representations: an application to Turkey [0.03%]
基于网络分析和潜在空间表示的国内迁移研究——以土耳其为例
Furkan Gürsoy,Bertan Badur
Furkan Gürsoy
Human migration patterns influence the redistribution of population characteristics over the geography and since such distributions are closely related to social and economic outcomes, investigating the structure and dynamics of internal mi...
OpExHAN: opinion extraction using hierarchical attention network from unstructured reviews [0.03%]
基于无结构评论的层次注意网络意见提取模型
Ankur Ratmele,Ramesh Thakur
Ankur Ratmele
In recent decades, sellers and merchants have asked their customers to share their opinion on the products at online marketplace. Analysis of the massive amounts of reviews for a potential customer is an immense challenge, to decide whether...
Surendra Singh Gangwar,Santosh Singh Rathore,Satyendra Singh Chouhan et al.
Surendra Singh Gangwar et al.
The wide popularity of Twitter as a medium of exchanging activities, entertainment, and information is attracted spammers to discover it as a stage to spam clients and spread misinformation. It poses the challenge to the researchers to iden...
A Survey on Social Media Influence Environment and Influencers Identification [0.03%]
社交媒体影响力环境及意见领袖识别调查研究
Feriel Gammoudi,Mondher Sendi,Mohamed Nazih Omri
Feriel Gammoudi
Social media users can be influenced directly by their close relationships, such as their friends, family, and colleagues. They can also be influenced by those who follow them through shared information, goals, news, and opinions. Generally...
Political polarization on Twitter during the COVID-19 pandemic: a case study in Brazil [0.03%]
新冠肺炎疫情期间巴西Twitter上的政治极化现象：一项案例研究
Pedro Brum,Matheus Cândido Teixeira,Renato Vimieiro et al.
Pedro Brum et al.
The debate over the COVID-19 pandemic is constantly trending at online conversations since its beginning in 2019. The discussions in many social media platforms is related not only to health aspects of the disease, but also public policies ...
Mood detection and prediction using conventional machine learning techniques on COVID19 data [0.03%]
基于常规机器学习技术的情绪检测与预测：用于COVID-19数据
Subhayan Bhattacharya,Abhay Agarwala,Sarbani Roy
Subhayan Bhattacharya
Emotion detection is a promising field of research in multiple perspectives such as psychology, marketing, network analysis and so on. Multiple models have been suggested over the years for accurate and efficient mood detection. Identifying...
Studying topic engagement and synergy among candidates for 2020 US Elections [0.03%]
2020年美国大选候选人的话题参与度和协同效应分析
Manmeet Kaur Baxi,Rajesh Sharma,Vijay Mago
Manmeet Kaur Baxi
This article provides a comprehensive summary of how candidates running in the 2020 US Presidential Elections used Twitter to communicate with the public. More specifically, it aims to uncover elements linked to public engagement and intern...
Lynnette Hui Xian Ng,Iain J Cruickshank,Kathleen M Carley
Lynnette Hui Xian Ng
Social media has become an integral component of the modern information system. An average person typically has multiple accounts across different platforms. At the same time, the rise of social media facilitates the spread of online mis/di...
Analyzing social media for measuring public attitudes toward controversies and their driving factors: a case study of migration [0.03%]
基于社交媒体的公共态度及其驱动因素测量研究——以移民问题为例
Yiyi Chen,Harald Sack,Mehwish Alam
Yiyi Chen
Among other ways of expressing opinions on media such as blogs, and forums, social media (such as Twitter) has become one of the most widely used channels by populations for expressing their opinions. With an increasing interest in the topi...
Mitigating virus spread through dynamic control of community-based social interactions for infection rate and cost [0.03%]
基于感染率和成本的社区社交动态控制以缓解病毒传播
Ahmad Zareie,Rizos Sakellariou
Ahmad Zareie
The emergence of a new virus in a community may cause significant overload on health services and may spread out to other communities quickly. Social distancing may help reduce the infection rate within a community and prevent the spread of...