Extracting significant mobile phone interaction patterns based on community structures

M Ghahramani, MC Zhou… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Mobile phones have emerged as an essential part of people's lives. The data produced from
them can be utilized to derive the spatio-temporal information of their users' whereabouts …

Discovering spatial interaction communities from mobile phone d ata

S Gao, Y Liu, Y Wang, X Ma - Transactions in GIS, 2013 - Wiley Online Library
In the age of B ig D ata, the widespread use of location‐awareness technologies has made it
possible to collect spatio‐temporal interaction data for analyzing flow patterns in both …

Clustering weekly patterns of human mobility through mobile phone data

E Thuillier, L Moalic, S Lamrous… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
With the rapid growth of cell phone networks during the last decades, call detail records
(CDR) have been used as approximate indicators for large scale studies on human and …

On the decomposition of cell phone activity patterns and their connection with urban ecology

B Cici, M Gjoka, A Markopoulou, CT Butts - Proceedings of the 16th ACM …, 2015 - dl.acm.org
The goal of this paper is to infer features of urban ecology (ie, social and economic activities,
and social interaction) from spatiotemporal cell phone activity data. We present a novel …

Understanding aggregate human mobility patterns using passive mobile phone location data: A home-based approach

Y Xu, SL Shaw, Z Zhao, L Yin, Z Fang, Q Li - Transportation, 2015 - Springer
Advancements of information, communication and location-aware technologies have made
collections of various passively generated datasets possible. These datasets provide new …

Mapping relationships between mobile phone call activity and regional function using self-organizing map

W Dong, S Wang, Y Liu - Computers, Environment and Urban Systems, 2021 - Elsevier
Mobile phone data help us to understand human activities. Researchers have investigated
the characteristics and relationships of human activities and regional function using …

[HTML][HTML] Portraying temporal dynamics of urban spatial divisions with mobile phone positioning data: A complex network approach

M Zhou, Y Yue, Q Li, D Wang - ISPRS International Journal of Geo …, 2016 - mdpi.com
Spatial structure is a fundamental characteristic of cities that influences the urban functioning
to a large extent. While administrative partitioning is generally done in the form of static …

[PDF][PDF] Evolving connectivity graphs in mobile phone data

O Novović, S Brdar, V Crnojević - NetMob, The main conference on the …, 2017 - netmob.org
Connectivity graphs inferred from mobile phone data uncover pulse of human interaction. In
the recent years many innovative applications based on this rich data emerged, such as …

Discovering urban activity patterns in cell phone data

P Widhalm, Y Yang, M Ulm, S Athavale, MC González - Transportation, 2015 - Springer
Massive and passive data such as cell phone traces provide samples of the whereabouts
and movements of individuals. These are a potential source of information for models of …

Another tale of two cities: Understanding human activity space using actively tracked cellphone location data

Y Xu, SL Shaw, Z Zhao, L Yin, F Lu, J Chen… - Geographies of …, 2018 - taylorfrancis.com
Activity space is an important concept in geography. Recent advancements of location-
aware technologies have generated many useful spatiotemporal data sets for studying …