{"title":"Identifying concavity laws of attractiveness character for composite regions: Application through geo-tagged media check-ins","authors":"A. Jain, S. Singh","doi":"10.1109/CCAA.2017.8229994","DOIUrl":null,"url":null,"abstract":"In this era of social networking sites, people's behavior online could help us have an idea about their offline lives as well. Social check-ins, which store geo-tagged information about users, can be utilized by researchers to investigate the tastes and preferences of individuals for the places they live in or travel to. In this paper, I introduce one possible research direction that can be taken using Yahoo Flickr Creative Commons 100M dataset of publically available geo-tagged media objects. I intended to focus this study on investigating the attractiveness character of most checked-in countries and large-scale composite regions, like the states of US, for foreign tourists. The attractiveness character is specified as the total amount of media check-ins done by the visitors compared to the population size of the country or state. In addition to this, I utilize International migrations dataset, made available publically by UN, to analyze the attractiveness potential of destination countries/states from a long-term perspective too. As most studies show that the attractiveness of cities follows a super-linear trend, my study is about identifying if the same trend is applicable to the attractiveness of large-scale composite regions too. In the end, the explanation of the results is discussed.","PeriodicalId":6627,"journal":{"name":"2017 International Conference on Computing, Communication and Automation (ICCCA)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Computing, Communication and Automation (ICCCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCAA.2017.8229994","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this era of social networking sites, people's behavior online could help us have an idea about their offline lives as well. Social check-ins, which store geo-tagged information about users, can be utilized by researchers to investigate the tastes and preferences of individuals for the places they live in or travel to. In this paper, I introduce one possible research direction that can be taken using Yahoo Flickr Creative Commons 100M dataset of publically available geo-tagged media objects. I intended to focus this study on investigating the attractiveness character of most checked-in countries and large-scale composite regions, like the states of US, for foreign tourists. The attractiveness character is specified as the total amount of media check-ins done by the visitors compared to the population size of the country or state. In addition to this, I utilize International migrations dataset, made available publically by UN, to analyze the attractiveness potential of destination countries/states from a long-term perspective too. As most studies show that the attractiveness of cities follows a super-linear trend, my study is about identifying if the same trend is applicable to the attractiveness of large-scale composite regions too. In the end, the explanation of the results is discussed.