Call Detail Records for Human Mobility Studies
| Autor: | Pierdomenico Fiadino, Marc Torrent-Moreno, Víctor Ponce-López, Juan Antonio, Alessandro D'Alconzo |
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| Rok vydání: | 2017 |
| Předmět: |
050210 logistics & transportation
Computer science business.industry media_common.quotation_subject 05 social sciences 020206 networking & telecommunications 02 engineering and technology Computer security computer.software_genre Scarcity 0502 economics and business 0202 electrical engineering electronic engineering information engineering Cellular network Telecommunications business computer Stock (geology) media_common |
| Zdroj: | Big-DAMA@SIGCOMM |
| DOI: | 10.1145/3098593.3098601 |
| Popis: | The exploitation of cellular network data for studying human mobility has been a popular research topic in the last decade. Indeed, mobile terminals could be considered ubiquitous sensors that allow the observation of human movements on large scale without the need of relying on non-scalable techniques, such as surveys, or dedicated and expensive monitoring infrastructures. In particular, Call Detail Records (CDRs), collected by operators for billing purposes, have been extensively employed due to their rather large availability, compared to other types of cellular data (e.g., signaling). Despite the interest aroused around this topic, the research community has generally agreed about the scarcity of information provided by CDRs: the position of mobile terminals is logged when some kind of activity (calls, SMS, data connections) occurs, which translates in a picture of mobility somehow biased by the activity degree of users. By studying two datasets collected by a Nation-wide operator in 2014 and 2016, we show that the situation has drastically changed in terms of data volume and quality. The increase of flat data plans and the higher penetration of "always connected" terminals have driven up the number of recorded CDRs, providing higher temporal accuracy for users' locations. |
| Databáze: | OpenAIRE |
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