Article
Business
Catherine Pardo, Margherita Pagani, Jean Savinien
Summary: This study aims to provide a framework for business-to-business companies to strategize using social media, by sharing their strategic position with other business actors. The findings suggest that it is important for these companies to consider the influence of social media and the shared meanings among actor networks, and continuously adjust their strategic position.
INDUSTRIAL MARKETING MANAGEMENT
(2022)
Article
Biology
Yihua Su, Aarthi Venkat, Yadush Yadav, Lisa B. Puglisi, Samah J. Fodeh
Summary: This study analyzed coronavirus-related tweets to uncover major concerns of US residents during the early months of the COVID-19 pandemic. It found that topics varied based on socioeconomic status, with under-resourced areas focusing more on personal economic hardship and high-resourced areas prioritizing public health messaging. The research highlights the importance of considering local impact and income disparities in messaging campaigns during public health crises.
COMPUTERS IN BIOLOGY AND MEDICINE
(2021)
Review
Computer Science, Artificial Intelligence
Caitlin Doogan Poet Laureate, Wray Buntine, Henry Linger
Summary: Research on short text topic models for social media datasets has raised concerns about the evaluation methods used, as they may not accurately reflect the meaningful insights that can be derived from the produced topics. The lack of knowledge about how researchers use topic models and potential misuse of these models could threaten the validity of their development and the insights they provide. A systematic literature review revealed that the use of topic models in social media analysis often falls short of optimal practices. Methodological support is lacking, and there is a mismatch between the development and application of topic models. Recommendations for bridging this gap are offered.
ARTIFICIAL INTELLIGENCE REVIEW
(2023)
Article
Multidisciplinary Sciences
Simon Porcher, Thomas Renault
Summary: The study found that beliefs shared on social networks about social distancing can influence individual behavior, while factors such as state orders, number of COVID-19 cases, precipitation, and temperature can also impact human mobility. Republican states are less likely to enforce social distancing, and policymakers can use Twitter data to better understand individual voluntary social distancing actions.
Article
Computer Science, Information Systems
Lingbo Liu, Ru Wang, Weihe Wendy Guan, Shuming Bao, Hanchen Yu, Xiaokang Fu, Hongqiang Liu
Summary: This study compares human movement data from Chinese social media Weibo and popular location-based service Baidu Map, finding that Weibo data can reveal similar patterns and has higher correlation at the provincial and monthly scale. The study also reveals spatial variations between the two data sources.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2022)
Article
Immunology
Lauren N. Cooper, Alexander P. Radunsky, John J. Hanna, Zachary M. Most, Trish M. Perl, Christoph U. Lehmann, Richard J. Medford
Summary: By analyzing tweets about monkeypox virus, we identified predominant sentiments, emotions, and topics discussed by cohorts of self-identified LGBTQ+ allies and Twitter bots compared to the general population. We found that the spread of misinformation about monkeypox was common, but there were also informative tweets about vaccines, symptoms, and prevention methods. Twitter proved to be an effective means of tracking sentiment about public healthcare issues.
OPEN FORUM INFECTIOUS DISEASES
(2023)
Article
Multidisciplinary Sciences
Yichang Gao, Fengming Liu, Lei Gao
Summary: In recent years, short videos have become a critical source of information. However, excessive use of algorithmic technology by short video platforms has led to intensified group polarization and the formation of homogeneous echo chambers. These echo chambers can contribute to the spread of misleading information, false news, or rumors, which have detrimental social impacts. This paper investigates the echo chamber effects on three popular short video platforms and explores the influence of user features on the formation of echo chambers.
SCIENTIFIC REPORTS
(2023)
Article
Environmental Sciences
P. Otero, J. Gago, P. Quintas
Summary: This study utilized a dataset from Twitter to analyze marine plastic pollution concerns, revealing a lack of influence from organizations involved in research and environmental awareness. By using topic modeling and graph theory techniques, the main concerns of users on this topic were identified, providing insights for organizations to adjust their communication plans.
MARINE POLLUTION BULLETIN
(2021)
Article
Multidisciplinary Sciences
Ross J. Schuchard, Andrew T. Crooks
Summary: Current social bot detection efforts vary widely in their design and performance characteristics, and must incorporate multiple detection sources to adapt to the constantly evolving complexity of bots.
Article
Social Sciences, Interdisciplinary
Emiliano del Gobbo, Sara Fontanella, Annalina Sarra, Lara Fontanella
Summary: This study focuses on the online debate surrounding the Brexit process, utilizing approximately 33 million Brexit-related tweets shared on Twitter over 58 weeks. Through static and dynamic topic modeling techniques, the study identified the most attention-grabbing topics among Twitter users and characterized their temporal evolution.
SOCIAL INDICATORS RESEARCH
(2021)
Article
Health Care Sciences & Services
Minghui Li, Yining Hua, Yanhui Liao, Li Zhou, Xue Li, Ling Wang, Jie Yang
Summary: This study built a social media-based pipeline to track public mental changes during the COVID-19 pandemic. The results showed that health care workers had higher risks of mental health problems compared to the general public, and they were more concerned about clinical topics. The lockdown policy had significant associations with public mental health in certain states.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2022)
Article
Urban Studies
Mahsa Najarsadeghi, Ehsan Dorostkar
Summary: This study examines the impact of virtual mobility on human mobility in Tehran's nightlife conditions, using Foursquare social media data. The research highlights the effects of Foursquare on nightlife and spatial interactions, emphasizing the importance of virtual mobility in shaping human behavior.
Article
Immunology
Qin Xiang Ng, Clara Xinyi Ng, Clarence Ong, Dawn Yi Xin Lee, Tau Ming Liew
Summary: Despite the safety and efficacy of influenza vaccines, global vaccination rates remain low. In the era of new media, individuals often turn to social media for health information, but misinformation and suboptimal health communications are prevalent. This study examines public messaging about influenza vaccines on Twitter by organizations, which could have a significant influence. Using the COM-B model, the findings suggest the current public messaging on Twitter is limited. More information could focus on enhancing the understanding of influenza and the benefits of vaccination, promoting alternative avenues for vaccination, and providing greater motivation and support for vaccination.
Article
Computer Science, Information Systems
Jari Jussila, Eman Alkhammash, Norah Saleh Alghamdi, Prashanth Madhala, Mohammad Ayoub Khan
Summary: Social media platforms provide new value for markets and research companies. This article explores the use of social media data to enhance customer value propositions. The aim is to analyze tweets about stress management practices and map them on pleasure and arousal to elicit customer insights.
CMC-COMPUTERS MATERIALS & CONTINUA
(2022)
Article
Medical Laboratory Technology
Hans Magne Hamnvag, Austin McHenry, Aadil Ahmed, Levent Trabzonlu, Christina A. Arnold, Kamran M. Mirza
Summary: The study found that using Twitter during pathology electives can be beneficial for medical students in increasing medical knowledge, networking, and professional development. Analysis of retweets and impressions confirmed the networking potential of Twitter among medical students and other users in the pathology field.
ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE
(2021)
Article
Geography, Physical
Wei Jiao, Wei Huang, Hongchao Fan
Summary: Public medical facilities are crucial in sustainable urban planning. This study presents a method to examine night emergency hospital visit and analyze its characteristics using float car data. It improves the 2SFCA methodology to calculate hospital accessibility and analyzes the balance between accessibility and population density. The study also investigates the relationship between hospital choice preferences and hospital level.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2022)
Article
Environmental Sciences
Han Lu, Wei Huang, Yongnian Zeng, Pancheng Wang, Xinyu Pi, Wenjie Liu
Summary: In this study, an unmixing-based spatial downscaling approach was proposed to convert the spatial resolution of the MOD16 ET product from 500 m to 16 m, in order to meet the needs of local-scale water management and environmental change research. The experimental results showed that the downscaled ET data had higher spatial details and exhibited high correlation and less error when compared with the MOD16 ET product and in situ ET measurements.
GEOCARTO INTERNATIONAL
(2022)
Article
Computer Science, Information Systems
Chun Liu, Li Chen, Quan Yuan, Hangbin Wu, Wei Huang
Summary: Urban space exhibits rich and diverse organizational structures, and understanding these structures and how urban systems work is crucial. Existing methods often overlook the temporal dimension and oversimplify spatial heterogeneity, making it challenging to address these complex properties. Therefore, we propose a framework based on temporal networks for modeling dynamic urban mobility structures and verify its effectiveness through empirical analysis.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2022)
Article
Computer Science, Information Systems
Ruyi Zhang, Songnian Li, Baojing Wei, Xu Zhou
Summary: The division of the territorial space functional area is the primary method for studying the rational exploitation and use of land space. This study analyzes the temporal changes and evolution features of the Production-Living-Ecological Space (PLES) landscape pattern in the Chaohu Lake Basin. It identifies the driving factors and concludes that agricultural production space dominates the landscape, with the natural climate, population structure of agricultural development, and industrial structure of economic development being the main drivers of PLES change. It suggests carrying out land regulation based on natural factors, economic development, and national policies to promote the formation of a territorial space development pattern.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2022)
Article
Engineering, Civil
Yi Wang, Changfeng Jing, Wei Huang, Shiyuan Jin, Xinxin Lv
Summary: Traffic flow forecasting is crucial to ITS, and this study proposed a multi-scale adaptive spatiotemporal forecasting model called AST-InceptionNet. It combines local and global features to effectively discover spatiotemporal patterns and outperforms existing methods.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Civil
Wenhao Fan, Yi Su, Jie Liu, Shenmeng Li, Wei Huang, Fan Wu, Yuan'an Liu
Summary: In this paper, a joint task offloading and resource allocation scheme is proposed to minimize the total task processing delay of all the vehicles in a vehicular edge computing (VEC) system. The scheme considers task diversity, vehicle classification, and task processing flexibility. An algorithm based on Generalized Benders Decomposition (GBD) and Reformulation Linearization (RL) methods is designed to optimally solve the optimization problem, and a heuristic algorithm is also designed for sub-optimal solution with low computational complexity. Extensive simulations demonstrate the superiority of the proposed scheme compared to 4 other schemes.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Geography, Physical
Quan Qin, Shishuo Xu, Mingyi Du, Songnian Li
Summary: This paper developed an integrated geo-corpus construction approach to identify Urban Functional Zones (UFZs). By extracting multi-spatial distribution patterns of Points of Interest (POIs), UFZs were classified with a high accuracy.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2022)
Article
Chemistry, Analytical
Pengyu Sun, Miaole Hou, Shuqiang Lyu, Wanfu Wang, Shuyang Li, Jincheng Mao, Songnian Li
Summary: This study proposes a new method for virtually enhancing and removing scratches from murals using principal component analysis, high-pass filtering, color space conversion, and triplet domain translation network. The results of the experiment show that this method outperforms other models and algorithms in mural restoration and improves the visual quality and artistic expression of the murals.
Review
Environmental Sciences
Su Yang, Miaole Hou, Songnian Li
Summary: This paper provides a comprehensive literature review on the acquisition of point cloud data and semantic segmentation algorithms in the cultural heritage field. It discusses the current trends, advantages, disadvantages, and applications of various algorithms, including region growing, model fitting, unsupervised clustering, supervised machine learning, and deep learning. Additionally, it summarizes the public benchmark datasets related to cultural heritage and presents the problems and future development trends of 3D point cloud semantic segmentation in this field.
Review
Computer Science, Information Systems
Richard Wen, Songnian Li
Summary: Many spatial decision support systems face challenges in user adoption due to lack of trust, technical expertise, and resources. Automated machine learning allows non-experts to explore and apply machine-learning models without requiring expert knowledge and resources. This paper proposes a framework for integrating spatial decision support systems with automated machine learning to lower user adoption barriers, and discusses challenges and research opportunities in system implementation.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2023)
Article
Geography, Physical
Fengyuan Zhang, Wenzhong Shi, Min Chen, Wei Huang, Xintao Liu
Summary: Autonomous driving has gained attention and demand due to the growth in the vehicle industry. High-definition maps (HD maps) are considered crucial infrastructure for autonomous driving, but the heterogeneous nature of HD map data makes it challenging to meet all driving objectives. To address this, the Open HD Map Service Model (OHDMSM) is proposed as an interoperable map data model to facilitate HD map development. A proof of concept HD map data system is implemented following the designed data model and interfaces of OHDMSM, providing benefits for worldwide HD map data requesting, updating, and interoperation in support of autonomous driving and intelligent transportation.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2023)
Correction
Environmental Sciences
Wei Huang
JOURNAL OF GEOVISUALIZATION AND SPATIAL ANALYSIS
(2023)
Review
Chemistry, Multidisciplinary
Shishuo Xu, Sirui Liu, Changfeng Jing, Songnian Li
Summary: This study conducts a comprehensive survey of the research patterns in the event knowledge graph field over the past decade using scientometric analysis. The results reveal core authors, research hotspots, landmark journals, and national collaborations. It provides a structured view of the state-of-the-art literature and insights into future trends in the field, facilitating further research.
APPLIED SCIENCES-BASEL
(2023)
Article
Geochemistry & Geophysics
Yuanhang Kong, Hangbin Wu, Akbar Akram, Jintao Li, Jingwen Zhao, Shida Wang, Wei Huang, Chun Liu
Summary: This article presents a method for generating a lane-level road network using LiDAR data from unmanned aerial vehicles (UAVs). The method utilizes specific models and algorithms to effectively eliminate interferences and produce an accurate road network.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2023)
Article
Environmental Sciences
Wei Huang
Summary: By using topic modeling to analyze research topics in the field of GIScience, this study found that traditional research topics have decreased over the past few decades, while topics related to emerging technologies and earth issues have gained more attention. The study also discovered a non-periodic pattern in research trends and identified a 3-5 year lifecycle for the popularity of a topic.
JOURNAL OF GEOVISUALIZATION AND SPATIAL ANALYSIS
(2022)