2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS)最新文献_第4页

Twitter Sentiment Analysis: Caribbean Prime Ministers Response to COVID-19 Pandemic 推特情绪分析:加勒比地区总理对COVID-19大流行的反应

2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS) Pub Date : 2021-12-06 DOI: 10.1109/SNAMS53716.2021.9732129

J. McFarlane, Leon Bernard

{"title":"Twitter Sentiment Analysis: Caribbean Prime Ministers Response to COVID-19 Pandemic","authors":"J. McFarlane, Leon Bernard","doi":"10.1109/SNAMS53716.2021.9732129","DOIUrl":"https://doi.org/10.1109/SNAMS53716.2021.9732129","url":null,"abstract":"In today's world, millions of people use social networking and microblogging sites every day to share their views, opinions, and emotions in their daily lives. These sites can become an invaluable source for data mining and can be used effectively to evaluate people's opinion on a product, an entity or perhaps topics of interest. Sentiment Analysis, as it is called, allows us to determine whether the opinions, mood, views, or attitude in a text is either “positive”, “negative”, or “neutral”. The focus of this study was to analyze the tweets of the top ten English-speaking Caribbean Prime Ministers on Twitter to determine how effective they were in reducing the spread of the COVID-19 outbreak in their territories. The research results provided clear evidence that the negative sentiment towards the virus by the Caribbean leaders was a contributing factor in reducing the number of cases and deaths during the first five months of COVID-19 in the region. The results also found that a correlation exists between the prime ministers' social network and their effectiveness in managing the virus. In addition, the words expressed by the prime ministers in reference to COVID-19 were clear and practical therefore making it easier for the prime ministers to implement strict measures to control the spread of the virus in the region.","PeriodicalId":387260,"journal":{"name":"2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125644822","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}

引用次数: 0

Methods in Constrained Community Detection: An Integer Optimization Model and Heuristic Approach for Cohort Creation 约束社区检测方法:一种整数优化模型和启发式队列创建方法

2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS) Pub Date : 2021-12-06 DOI: 10.1109/SNAMS53716.2021.9732140

Danielle Heymann, Collin Schwantes, Viveca Pavon-Harr, I. McCulloh

引用次数: 0

Keynote 1 主题1

2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS) Pub Date : 2021-12-06 DOI: 10.1109/hoti.2011.24

M. Gerla

{"title":"Keynote 1","authors":"M. Gerla","doi":"10.1109/hoti.2011.24","DOIUrl":"https://doi.org/10.1109/hoti.2011.24","url":null,"abstract":"There has been growing interest in vehicle to vehicle communications for a broad range of applications ranging from safe driving to content distribution, advertising, commerce and games. One relatively new application is urban sensing. Vehicles monitor the environment, classify the events, e.g., license plates, pollution readings, etc. and exchange metadata with neighbors in a peer-to-peer fashion, creating a distributed index from which mobile users can extract different views. For instance, the Department of Transportation captures traffic statistics; the Department of Health monitors pollutants, and; Law Enforcement Agents investigate crimes. Mobile, vehicular sensing differs radically from conventional, static sensor operations. Vehicles have abundant battery life, processing power and storage capacity. Moreover, as they move, they continually generate new data, making conventional sensor data collection techniques inadequate. In this talk we first review promising urban sensing applications; then, we introduce MobEyes, a middleware solution that works for all applications and that, via diffusion of data summaries, creates a distributed index of the sensed data. We discuss various techniques to design and maintain such a distributed index. We propose the use of bioinspired approaches to harvest the index. Finally, we address the issues of privacy of dissemination and of harvesting.","PeriodicalId":387260,"journal":{"name":"2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127121727","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}

引用次数: 0

Keynote 4 主题4

2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS) Pub Date : 2016-12-07 DOI: 10.1109/cse.2011.15

Paul Dummett, L. Lansford, H. Stephenson

引用次数: 0