Analysis of the Effect of Covid-19 on the Floating Population of Seoul Using the PageRank Algorithm

2021 ◽  
Author(s):  
JinWoo Kim ◽  
HyoungSun Na ◽  
Hee-Gook Jun ◽  
Jinhyun Ahn ◽  
Daesung Jun ◽  
...  
Keyword(s):  
Floating Population ◽  
Pagerank Algorithm

Improvement of PageRank algorithm by ant colony algorithm

2009 ◽  
Vol 29 (10) ◽  
pp. 2726-2728
Author(s):  
Yue-wei DING ◽  
Hui GUO
Keyword(s):  
Ant Colony Algorithm ◽  
Ant Colony ◽  
Pagerank Algorithm

Key phrase Extraction by Improving TextRank with an Integration of Word Embedding and Syntactic Information

2020 ◽  
Vol 13 ◽  
Author(s):  
Sheng Zhang ◽  
Qi Luo ◽  
Yukun Feng ◽  
Ke Ding ◽  
Daniela Gifu ◽  
...  
Keyword(s):  
Semantic Information ◽  
Performance Enhancement ◽  
Word Embedding ◽  
The Other ◽  
Test Set ◽  
Pagerank Algorithm ◽  
Phrase Extraction ◽  
Extraction Algorithm ◽  
Syntactic Information ◽  
Key Phrase Extraction

Background: As a known key phrase extraction algorithm, TextRank is an analogue of PageRank algorithm, which relied heavily on the statistics of term frequency in the manner of co-occurrence analysis. Objective: The frequency-based characteristic made it a neck-bottle for performance enhancement, and various improved TextRank algorithms were proposed in the recent years. Most of improvements incorporated semantic information into key phrase extraction algorithm and achieved improvement. Method: In this research, taking both syntactic and semantic information into consideration, we integrated syntactic tree algorithm and word embedding and put forward an algorithm of Word Embedding and Syntactic Information Algorithm (WESIA), which improved the accuracy of the TextRank algorithm. Results: By applying our method on a self-made test set and a public test set, the result implied that the proposed unsupervised key phrase extraction algorithm outperformed the other algorithms to some extent.

Influence of Confucian culture on entrepreneurial decision making using data from China's floating population

2020 ◽  
Vol 48 (7) ◽  
pp. 1-12
Author(s):  
Ran Xiong ◽  
Ping Wei
Keyword(s):  
Decision Making ◽  
Floating Population ◽  
Positive Role ◽  
Confucian Culture ◽  
Chinese Nation ◽  
Using Data ◽  
Entrepreneurial Decision ◽  
And Behavior ◽  
The Relationship

Confucian culture has had a deep-rooted influence on Chinese thinking and behavior for more than 2,000 years. With a manually created Confucian culture database and the 2017 China floating population survey, we used empirical analysis to test the relationship between Confucian culture and individual entrepreneurial choice using data obtained from China's floating population. After using the presence and number of Confucian schools and temples, and of chaste women as instrumental variables to counteract problems of endogeneity, we found that Confucian culture had a significant role in promoting individuals' entrepreneurial decision making among China's floating population. The results showed that, compared with those from areas of China not strongly influenced by Confucian culture, individuals from areas that are strongly influenced by Confucian culture were more likely to choose entrepreneurship as their occupation choice. Our findings reveal cultural factors that affect individual entrepreneurial behavior, and also illustrate the positive role of Confucianism as a representative of the typical cultures of the Chinese nation in the 21st century.

scholarly journals COVID-19 Risk Assessment: Contributing to Maintaining Urban Public Health Security and Achieving Sustainable Urban Development

2021 ◽  
Vol 13 (8) ◽  
pp. 4208
Author(s):  
Jun Zhang ◽  
Xiaodie Yuan
Keyword(s):  
Public Health ◽  
Population Density ◽  
Prevention And Control ◽  
Floating Population ◽  
Sustainable Urban Development ◽  
Risk Level ◽  
Health Security ◽  
Main Factors ◽  
And Control ◽  
Epidemic Risk

As the most infectious disease in 2020, COVID-19 is an enormous shock to urban public health security and to urban sustainable development. Although the epidemic in China has been brought into control at present, the prevention and control of it is still the top priority of maintaining public health security. Therefore, the accurate assessment of epidemic risk is of great importance to the prevention and control even to overcoming of COVID-19. Using the fused data obtained from fusing multi-source big data such as POI (Point of Interest) data and Tencent-Yichuxing data, this study assesses and analyzes the epidemic risk and main factors that affect the distribution of COVID-19 on the basis of combining with logistic regression model and geodetector model. What’s more, the following main conclusions are obtained: the high-risk areas of the epidemic are mainly concentrated in the areas with relatively dense permanent population and floating population, which means that the permanent population and floating population are the main factors affecting the risk level of the epidemic. In other words, the reasonable control of population density is greatly conducive to reducing the risk level of the epidemic. Therefore, the control of regional population density remains the key to epidemic prevention and control, and home isolation is also the best means of prevention and control. The precise assessment and analysis of the epidemic conducts by this study is of great significance to maintain urban public health security and achieve the sustainable urban development.

scholarly journals PageRank Implemented with the MPI Paradigm Running on a Many-Core Neuromorphic Platform

2021 ◽  
Vol 11 (2) ◽  
pp. 25
Author(s):  
Evelina Forno ◽  
Alessandro Salvato ◽  
Enrico Macii ◽  
Gianvito Urgese
Keyword(s):  
Parallel Execution ◽  
Spiking Neural Networks ◽  
Massively Parallel ◽  
Current Version ◽  
Hardware Platform ◽  
Pagerank Algorithm ◽  
Programming Paradigm ◽  
Neuromorphic Hardware ◽  
Efficient Communication ◽  
Many Core

SpiNNaker is a neuromorphic hardware platform, especially designed for the simulation of Spiking Neural Networks (SNNs). To this end, the platform features massively parallel computation and an efficient communication infrastructure based on the transmission of small packets. The effectiveness of SpiNNaker in the parallel execution of the PageRank (PR) algorithm has been tested by the realization of a custom SNN implementation. In this work, we propose a PageRank implementation fully realized with the MPI programming paradigm ported to the SpiNNaker platform. We compare the scalability of the proposed program with the equivalent SNN implementation, and we leverage the characteristics of the PageRank algorithm to benchmark our implementation of MPI on SpiNNaker when faced with massive communication requirements. Experimental results show that the algorithm exhibits favorable scaling for a mid-sized execution context, while highlighting that the performance of MPI-PageRank on SpiNNaker is bounded by memory size and speed limitations on the current version of the hardware.

scholarly journals UVLens

2021 ◽  
Vol 5 (2) ◽  
pp. 1-26
Author(s):  
Longbiao Chen ◽  
Chenhui Lu ◽  
Fangxu Yuan ◽  
Zhihan Jiang ◽  
Leye Wang ◽  
...  
Keyword(s):  
Large Scale ◽  
Floating Population ◽  
Open Government ◽  
Residential Areas ◽  
Rapid Urbanization ◽  
Urban Village ◽  
Open Government Data ◽  
Government Data ◽  
Real World Datasets ◽  
Urban Villages

Urban villages refer to the residential areas lagging behind the rapid urbanization process in many developing countries. These areas are usually with overcrowded buildings, high population density, and low living standards, bringing potential risks of public safety and hindering the urban development. Therefore, it is crucial for urban authorities to identify the boundaries of urban villages and estimate their resident and floating populations so as to better renovate and manage these areas. Traditional approaches, such as field surveys and demographic census, are time consuming and labor intensive, lacking a comprehensive understanding of urban villages. Against this background, we propose a two-phase framework for urban village boundary identification and population estimation. Specifically, based on heterogeneous open government data, the proposed framework can not only accurately identify the boundaries of urban villages from large-scale satellite imagery by fusing road networks guided patches with bike-sharing drop-off patterns, but also accurately estimate the resident and floating populations of urban villages with a proposed multi-view neural network model. We evaluate our method leveraging real-world datasets collected from Xiamen Island. Results show that our framework can accurately identify the urban village boundaries with an IoU of 0.827, and estimate the resident population and floating population with R2 of 0.92 and 0.94 respectively, outperforming the baseline methods. We also deploy our system on the Xiamen Open Government Data Platform to provide services to both urban authorities and citizens.

scholarly journals Health literacy and health outcomes in China’s floating population: mediating effects of health service

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hai-YanYu ◽  
Wei-Ling Wu ◽  
Lin-Wei Yu ◽  
Lei Wu
Keyword(s):  
Health Literacy ◽  
Health Service ◽  
Health Services ◽  
Health Outcomes ◽  
Service Utilization ◽  
Health Service Utilization ◽  
Mediating Effect ◽  
Floating Population ◽  
Equation Modeling ◽  
Mediating Effects

Abstract Background The floating population in China consists primarily of internal immigrants and represents a typical health vulnerable group. Poor health literacy has recently become an obstacle in the accessibility and utilization of health services for the vulnerable population, leading to adverse health outcomes. This study aimed to examine whether health literacy affected health outcomes in China’s floating population and whether health service utilization had a mediating effect between health literacy and health outcomes. Method The current study utilized a cross-sectional stratified, multistage, proportional to scale (PPS) study in Zhejiang Province, China, in November and December 2019. In total, 657 valid self-reported questionnaires were recovered and used for data collection. Questionnaires included questions regarding sociodemographic characteristics, health literacy, health outcomes, and health service utilization. Confirmatory factor analysis was used to test questionnaire validity; descriptive statistics were used to understand the demographic characteristics of the floating population; and structural equation modeling was used to determine whether health service utilization mediated health literacy and health outcomes. Results We report positive correlations between health literacy, health service utilization, and health outcomes. Mediation analysis demonstrated that health service utilization had partial mediating effects between health literacy and health outcomes. In the relationship between health literacy and health outcomes, the indirect effects of health service utilization accounted for 6.6–8.7% of the total effects. Conclusion Complete health literacy, through health care literacy and health promotion literacy, affects the mobile population’s initiative to use health services, which, in turn, affects health outcomes. Thus, improving the health literacy of the floating population will help to improve health outcomes. Furthermore, health service providers should enhance the diversity of health service supply to ensure that the floating population has the external resources to improve personal health literacy.

scholarly journals Social Sensing of the Imbalance of Urban and Regional Development in China Through the Population Migration Network around Spring Festival

2020 ◽  
Vol 12 (8) ◽  
pp. 3457 ◽  
Author(s):  
Ruoxin Zhu ◽  
Diao Lin ◽  
Yujing Wang ◽  
Michael Jendryke ◽  
Rui Xin ◽  
...  
Keyword(s):  
Urban Development ◽  
Regional Development ◽  
Analytical Framework ◽  
Pagerank Algorithm ◽  
Rich Club ◽  
Importance Index ◽  
Spring Festival ◽  
Spatiotemporal Behavior ◽  
Urban And Regional Development ◽  
Reform And Opening Up

Regional development differences are a universal problem in the economic development process of countries around the world. In recent decades, China has experienced rapid urban development since the implementation of the reform and opening-up policy. However, development differs across regions, triggering the migration of laborers from underdeveloped areas to developed areas. The interaction between regional development differences and Spring Festival has formed the world’s largest cyclical migration phenomenon, Spring Festival travel. Studying the migration pattern from public spatiotemporal behavior can contribute to understanding the differences in regional development. This paper proposes a geospatial network analytical framework to quantitatively characterize the imbalance of urban/regional development based on Spring Festival travel from the perspectives of complex network science and geospatial science. Firstly, the urban development difference is explored based on the intercity population flow difference ratio, PageRank algorithm, and attractiveness index. Secondly, the community detection method and rich-club coefficient are applied to further observe the spatial interactions between cities. Finally, the regional importance index and attractiveness index are used to reveal the regional development imbalance. The methods and findings can be used for urban planning, poverty alleviation, and population studies.

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