{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T17:35:36Z","timestamp":1779384936357,"version":"3.53.1"},"reference-count":49,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2021,11,12]],"date-time":"2021-11-12T00:00:00Z","timestamp":1636675200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"E\u00f6tv\u00f6s Lor\u00e1nd Research Network Secretariat","award":["ELKH K\u00d6-40\/2020"],"award-info":[{"award-number":["ELKH K\u00d6-40\/2020"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>In this study, Call Detail Records (CDRs) covering Budapest for the month of June in 2016 were analyzed. During this observation period, the 2016 UEFA European Football Championship took place, which significantly affected the habit of the residents despite the fact that not a single match was played in the city. We evaluated the fans\u2019 behavior in Budapest during and after the Hungarian matches and found that the mobile phone network activity reflected the football fans\u2019 behavior, demonstrating the potential of the use of mobile phone network data in a social sensing system. The Call Detail Records were enriched with mobile phone properties and used to analyze the subscribers\u2019 devices. Applying the device information (Type Allocation Code) obtained from the activity records, the Subscriber Identity Modules (SIM), which do not operate in cell phones, were omitted from mobility analyses, allowing us to focus on the behavior of people. Mobile phone price was proposed and evaluated as a socioeconomic indicator and the correlation between the phone price and the mobility customs was found. We also found that, besides the cell phone price, the subscriber age and subscription type also had effects on users\u2019 mobility. On the other hand, these factors did not seem to affect their interest in football.<\/jats:p>","DOI":"10.3390\/info12110468","type":"journal-article","created":{"date-parts":[[2021,11,12]],"date-time":"2021-11-12T08:10:22Z","timestamp":1636704622000},"page":"468","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Analyzing the Behavior and Financial Status of Soccer Fans from a Mobile Phone Network Perspective: Euro 2016, a Case Study"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4731-3816","authenticated-orcid":false,"given":"Gerg\u0151","family":"Pint\u00e9r","sequence":"first","affiliation":[{"name":"John von Neumann Faculty of Informatics, \u00d3buda University, B\u00e9csi \u00fat 96\/B, 1034 Budapest, Hungary"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4126-2480","authenticated-orcid":false,"given":"Imre","family":"Felde","sequence":"additional","affiliation":[{"name":"John von Neumann Faculty of Informatics, \u00d3buda University, B\u00e9csi \u00fat 96\/B, 1034 Budapest, Hungary"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2021,11,12]]},"reference":[{"key":"ref_1","unstructured":"Hopewell, J., and Meza, E. 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