{"title":"Sentiment analysis for news and social media in COVID-19","authors":"Xinran Yu, Chao Zhong, Dandan Li, Wei Xu","doi":"10.1145/3423333.3431794","DOIUrl":"https://doi.org/10.1145/3423333.3431794","url":null,"abstract":"During the COVID-19 epidemic, the news is overwhelming in people's daily life. So, we aim to extract key information from a large amount of public news. This paper focus on the daily sentiment distribution of news and public opinion on Weibo that refers to the key word COVID-19. First, we refining the key news from all the news in a day to deal with long and large news data. Second, we transformer the headline into a high-dimensional vector. And then, divided them into k categories on the strength of k-means clustering algorithm. Finally, choose the closet news to the mean vector as the key news of the day. Moreover, we conduct sentiment analysis on all key news and Weibo data. By comparing the sentiment trend of news and Weibo, this study provides a new channel to analyze social public opinion.","PeriodicalId":336196,"journal":{"name":"Proceedings of the 6th ACM SIGSPATIAL International Workshop on Emergency Management using GIS","volume":"661 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117110814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A cost aware crowdsensing approach for urban air quality sensing and computing","authors":"Zhengqiu Zhu, Bin Chen, Yong Zhao","doi":"10.1145/3423333.3431790","DOIUrl":"https://doi.org/10.1145/3423333.3431790","url":null,"abstract":"Nowadays, public authorities and citizens are more concerned about monitoring and managing urban air quality since it greatly affects the quality of life and well-being. Traditional practices and studies focused on sensing air quality by leveraging either fixed monitoring stations or dedicated mobile sensing equipment with expensive sensing costs. But recently, the vast distribution of the sensor-rich mobile devices carried by participants have made a new sensing paradigm possible, namely Mobile Crowdsensing. In this paper, we consider the inconsistency of sensing a sample in different subareas, combine compressive sensing and crowdsensing in the air quality applications, and correspondingly propose a cost aware crowdsensing framework for air quality sensing consisting of six stages: information modeling, cost estimation, cell selection, quality assessment, data inference and sensing data computing. Significantly, we present three cost aware task allocation strategies. Evaluations are conducted on real PM2.5 monitoring data-set. Our task allocation method based on the novel framework can remarkably reduce the inference errors with less sensing cost compared to the baselines, which demonstrates the performance of our proposed scheme.","PeriodicalId":336196,"journal":{"name":"Proceedings of the 6th ACM SIGSPATIAL International Workshop on Emergency Management using GIS","volume":"88 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114002556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Smart traffic management with cyber-physical systems for scenic areas","authors":"Shuyi Wang, Yudong Zhang, Yi Liu","doi":"10.1145/3423333.3431793","DOIUrl":"https://doi.org/10.1145/3423333.3431793","url":null,"abstract":"This paper proposed a method to perform smart traffic management for scenic areas with cyber-physical system (CPS) by sharing information among tourists (the mobile phone application), the traffic information platform, and parking lots. Smart traffic management is suggested to be performed based on the interaction of information sharing and physical driving and parking. Taking Wuyuan scenic spots in Jiangxi province as an example, the AnyLogic simulation was used to simulate the cyber-physical system of traffic control and information sharing applying the Markov model. Simulation results show that the information flow can significantly shorten the waiting time of vehicles and improve the utilization rate of scenic areas. The method proposed in this paper may benefit to reduce traffic congestion and perform smart traffic management for scenic areas in busy seasons.","PeriodicalId":336196,"journal":{"name":"Proceedings of the 6th ACM SIGSPATIAL International Workshop on Emergency Management using GIS","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114572186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The study of colleges students returning to campus under the epidemic situation based on GIS","authors":"R. Guo, Bin Chen, Mei Yang, Zheng Li","doi":"10.1145/3423333.3431792","DOIUrl":"https://doi.org/10.1145/3423333.3431792","url":null,"abstract":"The Novel Coronavirus Diseases 2019 (COVID-2019) is an international public health emergency that has drawn wide attention in the world. Affected by the COVID-2019, almost all colleges and universities across the country have decided to postpone the start date. College students are characterized by a wide range of personnel sources, and many uncertain and complex factors on the way back. Therefore, Major universities should take measures to prevent and control the epidemic, and arrange for students to return to Campus under the premise of traveling in batches according to regional location and personnel characteristics. Geographic Information System (GIS) is a computer system used for collecting, storing, processing, analyzing, and displaying geospatial data, which provides important technical support for real-time epidemic transmission monitoring, emergency resource management, comprehensive social governance, public cognition, and other aspects. The purpose of this paper is to study the application of GIS in the formulation of measures for returning to Campus in colleges and universities under the epidemic situation, and to give a preliminary strategy for batching and staggered start of school.","PeriodicalId":336196,"journal":{"name":"Proceedings of the 6th ACM SIGSPATIAL International Workshop on Emergency Management using GIS","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132379575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on location-based services in COVID-19: integrating GIS technology and personal information","authors":"Yudong Zhang, Yi Liu","doi":"10.1145/3423333.3431789","DOIUrl":"https://doi.org/10.1145/3423333.3431789","url":null,"abstract":"As a strategic resource, personal location information has played a key role in responding to the impact of COVID-19. In China, while LBS integrating GIS technology and personal information is widely used, it also faces the challenge of how to develop reliable LBS application. This research summarizes the \"city-community\" big data framework followed by LBS, and combs applying patterns of personal location information at city-level and community-level respectively. On this basis, the problems such as privacy security and data credibility are analyzed. Then according to the problem-oriented principle, the layered structure about GIS and LBS is proposed. This structure is an innovative conceptual model that not only defines location data for GIS-calculations and personal information for LBS applications, but also emphasizes the connection between the two. The results of this paper may provide suggestions for the construction of LBS related systems in response to public health emergencies.","PeriodicalId":336196,"journal":{"name":"Proceedings of the 6th ACM SIGSPATIAL International Workshop on Emergency Management using GIS","volume":"227 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120840306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Typical patterns of government response measures and trends for COVID-19 pandemic","authors":"Chenyang Wang, Yang Gao, Hui Zhang","doi":"10.1145/3423333.3431795","DOIUrl":"https://doi.org/10.1145/3423333.3431795","url":null,"abstract":"COVID-19 arouses worldwide attention because huge health costs and economic losses it has caused. Different countries have adopted different control measures. This article explores the main factors affecting the spread of COVID-19 by the fault tree analysis (FTA) method. A government response score table is developed on this basis. Government responses of 14 countries are collected for assessment and are categorized into five groups according to their scores. The suitable functions are fitted to the trend curve piecewise. Correlation between typical patterns of government response and epidemic trends are analyzed. It was found that a rigorous government response will shorten the time to the peak of confirmed curves and accelerate end of the epidemic. This study will improve our understanding of government response measures to COVID-19 and enhance our emergency response capabilities in the future.","PeriodicalId":336196,"journal":{"name":"Proceedings of the 6th ACM SIGSPATIAL International Workshop on Emergency Management using GIS","volume":"471 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131608284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Structural statistics of a human contact network in a research institute","authors":"Cheng Liu, Yina Yao, Min Zhu","doi":"10.1145/3423333.3431791","DOIUrl":"https://doi.org/10.1145/3423333.3431791","url":null,"abstract":"Human contact networks are important ways for the spread of infectious diseases, and it is of great significance to study the structure of human contact networks in the real world. In this paper, the human contact data in a research institute of a university is collected using video surveillance devices, and the corresponding human contact network is constructed. On this basis, the structural characteristics of the human contact network are analyzed at the micro and macro levels respectively, and compared with the ER random network, WS small-world network and BA scale-free network. The results show that the human contact network cannot be accurately described by the three commonly used ideal networks, but it still has some structural characteristics of each ideal network. The contact network has more similarities in structure with the WS small-world network, including large clustering coefficient, modularity and average shortest path length, at the same time, it has more hierarchies and weak assortativity. This study can provide experimental support for the construction of network models in epidemic spreading dynamics, and is of great significance for the study of mechanism and control measures of epidemic spreading in complex networks.","PeriodicalId":336196,"journal":{"name":"Proceedings of the 6th ACM SIGSPATIAL International Workshop on Emergency Management using GIS","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129387711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Proceedings of the 6th ACM SIGSPATIAL International Workshop on Emergency Management using GIS","authors":"","doi":"10.1145/3423333","DOIUrl":"https://doi.org/10.1145/3423333","url":null,"abstract":"","PeriodicalId":336196,"journal":{"name":"Proceedings of the 6th ACM SIGSPATIAL International Workshop on Emergency Management using GIS","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122683880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}