评估大型社会活动参与者的社会经济地位

2022 IEEE 16th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2022-05-25 DOI:10.1109/SACI55618.2022.9919469

Kerecsen Szab'o, G. Pintér, I. Felde

{"title":"评估大型社会活动参与者的社会经济地位","authors":"Kerecsen Szab'o, G. Pintér, I. Felde","doi":"10.1109/SACI55618.2022.9919469","DOIUrl":null,"url":null,"abstract":"In this study, Call Detail Records (CDRs) from downtown Budapest were analysed, focusing on a large scale event in August 2014. The attendees of the main event of the Hungarian State Foundation Day have been analysed based on their socioeconomic status (SES). This paper proposes an approach to estimating SES by the price and age of the subscribers' phones, obtained by fusing a mobile phone property database with the CDRs. We have found some tendencies between the attendees based on the location, from where they watched the fireworks. However, the results do not show significant differences in this geographical granularity.","PeriodicalId":105691,"journal":{"name":"2022 IEEE 16th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluating the Socioeconomic Status of a Large Social Event Attendees\",\"authors\":\"Kerecsen Szab'o, G. Pintér, I. Felde\",\"doi\":\"10.1109/SACI55618.2022.9919469\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, Call Detail Records (CDRs) from downtown Budapest were analysed, focusing on a large scale event in August 2014. The attendees of the main event of the Hungarian State Foundation Day have been analysed based on their socioeconomic status (SES). This paper proposes an approach to estimating SES by the price and age of the subscribers' phones, obtained by fusing a mobile phone property database with the CDRs. We have found some tendencies between the attendees based on the location, from where they watched the fireworks. However, the results do not show significant differences in this geographical granularity.\",\"PeriodicalId\":105691,\"journal\":{\"name\":\"2022 IEEE 16th International Symposium on Applied Computational Intelligence and Informatics (SACI)\",\"volume\":\"68 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 16th International Symposium on Applied Computational Intelligence and Informatics (SACI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SACI55618.2022.9919469\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 16th International Symposium on Applied Computational Intelligence and Informatics (SACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SACI55618.2022.9919469","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

在这项研究中，我们分析了布达佩斯市中心的通话详细记录(cdr)，重点是2014年8月的一次大型活动。匈牙利建国日主要活动的参加者根据其社会经济地位(SES)进行了分析。本文提出了一种将手机属性数据库与话单数据相融合，根据用户手机的价格和年龄估算SES的方法。根据观看烟花的地点，我们发现了参与者之间的一些倾向。然而，结果并没有显示出这种地理粒度的显著差异。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Evaluating the Socioeconomic Status of a Large Social Event Attendees

In this study, Call Detail Records (CDRs) from downtown Budapest were analysed, focusing on a large scale event in August 2014. The attendees of the main event of the Hungarian State Foundation Day have been analysed based on their socioeconomic status (SES). This paper proposes an approach to estimating SES by the price and age of the subscribers' phones, obtained by fusing a mobile phone property database with the CDRs. We have found some tendencies between the attendees based on the location, from where they watched the fireworks. However, the results do not show significant differences in this geographical granularity.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2022 IEEE 16th International Symposium on Applied Computational Intelligence and Informatics (SACI)

自引率

0.00%

发文量