A conditional random field recommendation method based on tripartite graph DOI
Xin Wang, Lixin Han, Jingxian Li

et al.

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 238, P. 121804 - 121804

Published: Sept. 28, 2023

Language: Английский

Achieving fine-grained urban flood perception and spatio-temporal evolution analysis based on social media DOI
Zhiyu Yan, Xiaogang Guo, Zilong Zhao

et al.

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 101, P. 105077 - 105077

Published: Nov. 21, 2023

Language: Английский

Citations

39

Automatic extraction and geographization of urban traffic event based on natural Chinese text data DOI Creative Commons
Changfu Hu, Hangbin Wu,

Chaoxu Wei

et al.

Geocarto International, Journal Year: 2025, Volume and Issue: 40(1)

Published: Jan. 22, 2025

Language: Английский

Citations

1

User Profile Construction Based on High-Dimensional Features Extracted by Stacking Ensemble Learning DOI Creative Commons
Zhaoyang Wang, Li Li, Ketai He

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(3), P. 1224 - 1224

Published: Jan. 25, 2025

Online social networks, as platforms for personal expression, have evolved into complex networks integrating political and dimensions. This evolution has shifted the focus of network governance from addressing hacking activities to mitigating unpredictable behaviors, such malicious manipulation public opinion, doxing ordinary users, cyberbullying. However, sparsity data concealed nature user behavior pose significant challenges existing reconnaissance technologies. In this study, we on constructing profiles online by extracting features build deep based behavioral patterns. Drawing inspiration 5Cs principle credit evaluation, refine it a 3Cs tailored profiling associate with To further analyze behavior, high-dimensional feature extraction method is proposed using an improved stacking ensemble learning model. Based experimental analysis, most suitable base algorithms are identified. Experimental results demonstrate that integration prediction accuracy model 9.26% balanced datasets enhanced AUC (area under curve) metric 3.69% imbalanced datasets. The effectively increases depth generalization performance profiling.

Language: Английский

Citations

0

Multi‐Row Labeling With Semantic Analysis: A Case Study on Chinese POIs DOI Open Access
Zhiwei Wei, Junguo Shi, Nai Yang

et al.

Transactions in GIS, Journal Year: 2025, Volume and Issue: 29(2)

Published: March 24, 2025

ABSTRACT Labels are widely used in maps to convey verbal information for symbols and play a crucial role aiding users' navigation understanding of spatial context. Traditional labeling approaches mainly focus on ensuring label readability by placing them overlap‐free while maintaining visual coherence. However, these methods often fall short Point Interest (POI) labeling, particularly the context Chinese labels, due growing demand detailed informative with long or descriptive POI names. To address this challenge, it is essential shorten names split labels into multiple rows achieve more effective layout. In work, we present multi‐row algorithm that introduces new quality constraints incorporates linguistic semantic analysis preprocessing, segmentation, placement. We also demonstrate its application real‐world mapping platform, Meituan Map, which serves over 50 million monthly users. inform design algorithm, interviewed six domain experts conducted statistical based dataset containing 160,297 POIs. This confirms necessity highlights practical challenges considerations. Our results indicate preprocessing phase our can reduce total character count 41.15% word 43.24%. Comparative experiments show approach achieves superior placement terms clarity. improvement may come at cost increased computational time. A user study involving 318 participants demonstrated processing result user‐preferred layout comparable effectiveness tasks, although increase response

Language: Английский

Citations

0

Assessment of healthcare accessibility in Guangdong-Hong Kong-Macao Greater Bay Area DOI Creative Commons

Xin Jiang,

Wencheng Wei,

Zeng Li-hua

et al.

Sustainable Horizons, Journal Year: 2023, Volume and Issue: 6, P. 100057 - 100057

Published: June 1, 2023

Hospitals play a crucial role in promoting public health and well-being, but their distribution accessibility can significantly affect healthcare outcomes. The Guangdong-Hong Kong-Macau Greater Bay Area (GBA) boasts an abundance of resources; however, access to these facilities be challenging due population clustering inadequate resource allocation. Unfortunately, quantifying residents' is complicated by the lack centralized database complex transportation systems. To address limitations, we developed comprehensive facility dataset comprising 54,902 sites, utilizing internet maps' precise location services. Furthermore, novel framework for real-time driving-based path planning that integrates geographic coordinates density data. Our analysis revealed 6.7% (4.8 million people) could not reach within 30 min. Even after accounting rural clinic facilities, 2.5% (1.8 remained unable healthcare, mainly peripheral cities. Finally, simulated scenario which 12 new hospitals were added demonstrate effectiveness reasonable hospital placement improving accessibility. By investigating GBA's experience, derive best practices, pinpoint areas improvement, inform policy development aimed at enhancing all residents. findings serve as blueprint other provinces China provide insights into allocation strategies nations with similar hierarchical

Language: Английский

Citations

6

Identifying the Spatial Range of the Pearl River Delta Urban Agglomeration by Fusing Nighttime Light Data with Weibo Sign-In Data DOI Creative Commons
Yongwang Cao, Song Liu,

Zaigao Yang

et al.

ISPRS International Journal of Geo-Information, Journal Year: 2024, Volume and Issue: 13(6), P. 214 - 214

Published: June 19, 2024

Accurately identifying the spatial range of urban agglomerations holds significant practical importance for precise allocation various elements and coordinated development within agglomerations. However, current research predominantly focuses on physical spaces agglomerations, overlooking their sphere influence. This study begins with interactions population fuses Weibo sign-in data NTL to identify It further compares validates results before after fusion data. The reveal that accuracy has improved by 7%, a Kappa increase 0.1766 compared using alone, which indicates fusing social media can significantly enhance proposes novel approach through from perspective. On one hand, it supplements application in agglomeration spaces; other accurately identifies great value sustainable

Language: Английский

Citations

2

A conditional random field recommendation method based on tripartite graph DOI
Xin Wang, Lixin Han, Jingxian Li

et al.

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 238, P. 121804 - 121804

Published: Sept. 28, 2023

Language: Английский

Citations

3