Abstract. The Orange “Data for Development ” (D4D) challenge is an open data challenge on anonymous call patterns of Orange’s mobile phone users in Ivory Coast. The goal of the challenge is to help address society development questions in novel ways by contributing to the socio-economic development and well-being of the Ivory Coast population. Participants to the challenge are given access to four mobile phone datasets and the purpose of this paper is to describe the four datasets. The websit
Traffic analysis of mobile and Internet networks helps researchers understand people’s behavior and ...
Due to the rapid spread of mobile phones and coverage in the developing world, mobile phones are bei...
<p>Diffusion process using mobility data available during the 2013 D4D challenge</p
This paper investigates the Data for Development (D4D) challenge [3], an open challenge set by the F...
M4D Overview 1.0 – the 2009 introduction to mobile for development describes and discusses how mobil...
The rise of mobile communication has been remarkable. This is especially the case in developing coun...
International audienceUnderstanding human movements is critical for different scientific domains. In...
The appearance of smartphones and increasing popularity of various mobile applications and services ...
The newly released Orange D4D mobile phone data base provides new insights into the use of mobile te...
Mobile phone ubiquity in much of the developing world has turned from a question of when rather than...
Telecom data are critical for understanding population distribution and mobility patterns, which can...
The ability to implement a plethora of data mining algorithms on large data sets to gain valuable in...
Full list of author information is available at the end of the article The newly released Orange D4D...
In the context of the rapid growth of mobile phone penetration in developing countries, mobile telep...
Anonymous and aggregated statistics derived from mobile phone data have proven efficacy as a proxy f...
Traffic analysis of mobile and Internet networks helps researchers understand people’s behavior and ...
Due to the rapid spread of mobile phones and coverage in the developing world, mobile phones are bei...
<p>Diffusion process using mobility data available during the 2013 D4D challenge</p
This paper investigates the Data for Development (D4D) challenge [3], an open challenge set by the F...
M4D Overview 1.0 – the 2009 introduction to mobile for development describes and discusses how mobil...
The rise of mobile communication has been remarkable. This is especially the case in developing coun...
International audienceUnderstanding human movements is critical for different scientific domains. In...
The appearance of smartphones and increasing popularity of various mobile applications and services ...
The newly released Orange D4D mobile phone data base provides new insights into the use of mobile te...
Mobile phone ubiquity in much of the developing world has turned from a question of when rather than...
Telecom data are critical for understanding population distribution and mobility patterns, which can...
The ability to implement a plethora of data mining algorithms on large data sets to gain valuable in...
Full list of author information is available at the end of the article The newly released Orange D4D...
In the context of the rapid growth of mobile phone penetration in developing countries, mobile telep...
Anonymous and aggregated statistics derived from mobile phone data have proven efficacy as a proxy f...
Traffic analysis of mobile and Internet networks helps researchers understand people’s behavior and ...
Due to the rapid spread of mobile phones and coverage in the developing world, mobile phones are bei...
<p>Diffusion process using mobility data available during the 2013 D4D challenge</p