Contextual Enrichment of Crowds from Mobile Phone Data through Multimodal Geo-Social Media Analysis
The widespread use of mobile phones and social media platforms provides valuable information about users’ behavior and activities. Mobile phone data are rich on positional information, but lack semantic context. Conversely, geo-social media data reveal users’ opinions and activities, but are rather...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-10-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/13/10/350 |
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| author | Klára Honzák Sebastian Schmidt Bernd Resch Philipp Ruthensteiner |
| author_facet | Klára Honzák Sebastian Schmidt Bernd Resch Philipp Ruthensteiner |
| author_sort | Klára Honzák |
| collection | DOAJ |
| description | The widespread use of mobile phones and social media platforms provides valuable information about users’ behavior and activities. Mobile phone data are rich on positional information, but lack semantic context. Conversely, geo-social media data reveal users’ opinions and activities, but are rather sparse in space and time. In the context of emergency management, both data types have been considered separately. To exploit their complementary nature and potential for emergency management, this paper introduces a novel methodology for improving situational awareness with the focus on urban events. For crowd detection, a spatial hot spot analysis of mobile phone data is used. The analysis of geo-social media data involves building spatio-temporal topic-sentiment clusters of posts. The results of the spatio-temporal contextual enrichment include unusual crowds associated with topics and sentiments derived from the analyzed geo-social media data. This methodology is demonstrated using the case study of the Vienna Pride. The results show how crowds change over time in terms of their location, size, topics discussed, and sentiments. |
| format | Article |
| id | doaj-art-8aaa59177a6447048bfdcc534db5e450 |
| institution | OA Journals |
| issn | 2220-9964 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj-art-8aaa59177a6447048bfdcc534db5e4502025-08-20T02:11:04ZengMDPI AGISPRS International Journal of Geo-Information2220-99642024-10-01131035010.3390/ijgi13100350Contextual Enrichment of Crowds from Mobile Phone Data through Multimodal Geo-Social Media AnalysisKlára Honzák0Sebastian Schmidt1Bernd Resch2Philipp Ruthensteiner3Department of Geoinformatics—Z_GIS, University of Salzburg, 5020 Salzburg, AustriaDepartment of Geoinformatics—Z_GIS, University of Salzburg, 5020 Salzburg, AustriaDepartment of Geoinformatics—Z_GIS, University of Salzburg, 5020 Salzburg, AustriaHutchison Drei Austria, 1210 Vienna, AustriaThe widespread use of mobile phones and social media platforms provides valuable information about users’ behavior and activities. Mobile phone data are rich on positional information, but lack semantic context. Conversely, geo-social media data reveal users’ opinions and activities, but are rather sparse in space and time. In the context of emergency management, both data types have been considered separately. To exploit their complementary nature and potential for emergency management, this paper introduces a novel methodology for improving situational awareness with the focus on urban events. For crowd detection, a spatial hot spot analysis of mobile phone data is used. The analysis of geo-social media data involves building spatio-temporal topic-sentiment clusters of posts. The results of the spatio-temporal contextual enrichment include unusual crowds associated with topics and sentiments derived from the analyzed geo-social media data. This methodology is demonstrated using the case study of the Vienna Pride. The results show how crowds change over time in terms of their location, size, topics discussed, and sentiments.https://www.mdpi.com/2220-9964/13/10/350contextual enrichmentmobile phone datageo-social mediaemergency managementcrowd detection |
| spellingShingle | Klára Honzák Sebastian Schmidt Bernd Resch Philipp Ruthensteiner Contextual Enrichment of Crowds from Mobile Phone Data through Multimodal Geo-Social Media Analysis ISPRS International Journal of Geo-Information contextual enrichment mobile phone data geo-social media emergency management crowd detection |
| title | Contextual Enrichment of Crowds from Mobile Phone Data through Multimodal Geo-Social Media Analysis |
| title_full | Contextual Enrichment of Crowds from Mobile Phone Data through Multimodal Geo-Social Media Analysis |
| title_fullStr | Contextual Enrichment of Crowds from Mobile Phone Data through Multimodal Geo-Social Media Analysis |
| title_full_unstemmed | Contextual Enrichment of Crowds from Mobile Phone Data through Multimodal Geo-Social Media Analysis |
| title_short | Contextual Enrichment of Crowds from Mobile Phone Data through Multimodal Geo-Social Media Analysis |
| title_sort | contextual enrichment of crowds from mobile phone data through multimodal geo social media analysis |
| topic | contextual enrichment mobile phone data geo-social media emergency management crowd detection |
| url | https://www.mdpi.com/2220-9964/13/10/350 |
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