2018
DOI: 10.3390/e20100736
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Abstract: Correctly estimating the features characterizing human mobility from mobile phone traces is a key factor to improve the performance of mobile networks, as well as for mobility model design and urban planning. Most related works found their conclusions on location data based on the cells where each user sends or receives calls or messages, data known as Call Detail Records (CDRs). In this work, we test if such data sets provide enough detail on users’ movements so as to accurately estimate some of the most stud… Show more

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Cited by 6 publications
(7 citation statements)
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“…However, the most common approach to gather large sensing data is through base receiver stations (BTS), also termed cell-towers, to generate location data of mobile phones (Frias-Martinez et al 2012). Mobile phone operators register when a phone contacts other devices (through calls or texts) or when it uses internet connection (Lu et al 2017;Rodriguez-Carrion et al 2018). Furthermore, the BTSs can also be used as a mean of actively tracing the mobile phones' locations.…”
Section: Background: Mobile Phones and Connectivitymentioning
confidence: 99%
See 2 more Smart Citations
“…However, the most common approach to gather large sensing data is through base receiver stations (BTS), also termed cell-towers, to generate location data of mobile phones (Frias-Martinez et al 2012). Mobile phone operators register when a phone contacts other devices (through calls or texts) or when it uses internet connection (Lu et al 2017;Rodriguez-Carrion et al 2018). Furthermore, the BTSs can also be used as a mean of actively tracing the mobile phones' locations.…”
Section: Background: Mobile Phones and Connectivitymentioning
confidence: 99%
“…In contrast to CDR such data is not only generated when calls or texts are conducted but also whenever the phone uses BTSs for access to e.g., internet. This produces a more detailed dataset, which is less influenced by individual agency (Lu et al 2017;Rodriguez-Carrion et al 2018).…”
Section: Background: Mobile Phones and Connectivitymentioning
confidence: 99%
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“…In [17], Rodriguez-Carrion et al investigate the presence of biases in human mobility analyses based on CDR. As a preliminary step to the study, they preprocess mobile phone location datasets so as to remove oscillations.…”
Section: Related Workmentioning
confidence: 99%
“…Entropy is used to detect anomalies in different areas. In previous work, we applied entropy to geolocated traces [10,11]. The performance of the entropy was satisfactory, and it was able to detect anomalies.…”
Section: Introductionmentioning
confidence: 99%