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With mobile phone penetration rates reaching 90%, Consumer Proprietary Network Information (CPNI) can offer extremely valuable information to different sectors, including policymakers. Indeed, as part of CPNI, Call Detail Records have been…

Cryptography and Security · Computer Science 2021-01-26 Jeffrey Murray , Afra Mashhadi , Brent Lagesse , Michael Stiber

In this chapter, we discuss urban mobility from a complexity science perspective. First, we give an overview of the datasets that enable this approach, such as mobile phone records, location-based social network traces, or GPS trajectories…

Physics and Society · Physics 2025-06-23 Laura Alessandretti , Michael Szell

The emerging technologies related to mobile data especially CDR data has great potential for mobility and transportation applications. However, it presents some challenges due to its spatio-temporal characteristics and sparseness.…

Networking and Internet Architecture · Computer Science 2019-02-26 Amnir Hadachi , Artjom Lind

When nodes in a mobile network cluster together or move according to common external factors (e.g., cars that follow the road network), the resulting contact patterns become correlated. In this work we address the question of modelling such…

Networking and Internet Architecture · Computer Science 2014-09-24 Mikael Asplund , Simin Nadjm-Tehrani

Mobile phone calling is one of the most widely used communication methods in modern society. The records of calls among mobile phone users provide us a valuable proxy for the understanding of human communication patterns embedded in social…

Social and Information Networks · Computer Science 2014-05-28 Ming-Xia Li , Zhi-Qiang Jiang , Wen-Jie Xie , Salvatore Miccichè , Michele Tumminello , Wei-Xing Zhou , Rosario N. Mantegna

Tourism has been an increasingly important factor in global economy, society and environment, accounting for a significant share of GDP and labor force. Policy and research on tourism traditionally rely on surveys and economic datasets,…

Computers and Society · Computer Science 2018-06-13 Yan Leng , Alejandro Noriega , Alex 'Sandy' Pentland , Ira Winder , Nina Lutz , Luis Alonso

In this work we propose, implement, and evaluate GRM, a novel mobility model that accounts for the role of group meeting dynamics and regularity in human mobility. Specifically, we show that existing mobility models for humans do not…

Networking and Internet Architecture · Computer Science 2017-06-27 Ivan O. Nunes , Clayson Celes , Michael D. Silva , Pedro O. S. Vaz de Melo , Antonio A. F. Loureiro

Opportunistic mobile social networks (MSNs) are modern paradigms of delay tolerant networks that consist of mobile users with social characteristics. The users in MSNs communicate with each other to share data objects. In this setting,…

Networking and Internet Architecture · Computer Science 2014-07-31 Behrouz Jedari , Feng Xia

Cellular networks are not merely data access networks to the Internet. Their distinct services and ability to form large complex compounds for roaming purposes make them an attractive research target in their own right. Their promise of…

Networking and Internet Architecture · Computer Science 2024-03-14 Gabriel Karl Gegenhuber , Wilfried Mayer , Edgar Weippl , Adrian Dabrowski

The rise of location positioning technologies has generated enormous volumes of digital footprints. Translating this big data into understandable trip patterns plays a crucial role in estimating infrastructure demands. Previous studies were…

Computers and Society · Computer Science 2019-07-09 Bita Sadeghinasr , Armin Akhavan , Qi Wang

This study models and examines commuter's preferences for short-distance transportation modes, namely: walking, taking a bus or riding a metro. It is used a unique dataset from a large-scale field experiment in Singapore that provides rich…

Physics and Society · Physics 2019-02-22 Francisco Benita , Garvit Bansal , Georgios Piliouras , Bige Tunçer

The use of public transportation or simply moving about in streets are gendered issues. Women and girls often engage in multi-purpose, multi-stop trips in order to do household chores, work, and study ('trip chaining'). Women-headed…

Analyzing mobility behavior of users is extremely useful to create or improve existing services. Several research works have been done in order to study mobility behavior of users that mainly use users' significant locations. However, these…

Machine Learning · Computer Science 2019-07-08 Arielle Moro , Benoît Garbinato , Valérie Chavez-Demoulin

In the age of data driven solution, the customer demographic attributes, such as gender and age, play a core role that may enable companies to enhance the offers of their services and target the right customer in the right time and place.…

Machine Learning · Computer Science 2019-03-19 Ibrahim Mousa AlZuabi , Assef Jafar , Kadan Aljoumaa

Growth in leisure travel has become increasingly significant economically, socially, and environmentally. However, flexible but uncoordinated travel behaviors exacerbate traffic congestion. Mobile phone records not only reveal human…

Computers and Society · Computer Science 2016-10-24 Yan Leng , Larry Rudolph , Alex 'Sandy' Pentland , Jinhua Zhao , Haris N. Koutsopolous

Stop location detection, within human mobility studies, has an impacts in multiple fields including urban planning, transport network design, epidemiological modeling, and socio-economic segregation analysis. However, it remains a…

Machine Learning · Computer Science 2024-07-17 Margherita Bertè , Rashid Ibrahimli , Lars Koopmans , Pablo Valgañón , Nicola Zomer , Davide Colombi

While benefiting people's daily life in so many ways, smartphones and their location-based services are generating massive mobile device location data that has great potential to help us understand travel demand patterns and make…

Machine Learning · Computer Science 2020-12-10 Chenfeng Xiong , Aref Darzi , Yixuan Pan , Sepehr Ghader , Lei Zhang

In recent years, mobile devices (e.g., smartphones and tablets) have met an increasing commercial success and have become a fundamental element of the everyday life for billions of people all around the world. Mobile devices are used not…

Cryptography and Security · Computer Science 2018-06-19 Mauro Conti , QianQian Li , Alberto Maragno , Riccardo Spolaor

As mobile technologies become ever more sensor-rich, portable, and ubiquitous, data captured by smart devices are lending rich insights into users' daily lives with unprecedented comprehensiveness, unobtrusiveness, and ecological validity.…

Smartphones and portable devices have become ubiquitous and part of everyone's life. Due to the fact of its portability, these devices are perfect to record individuals' traces and life-logging generating vast amounts of data at low costs.…

Machine Learning · Computer Science 2019-04-23 Thiago Andrade , João Gama
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