Mobile phone data record the people's communication behaviors in detail, and become an important resource for studying people's social relationships and behavior patterns. The call numbers, call volumes and call durations are the basic properties of the mobile phone data network. Based on the theory of complex networks and the statistic method, studied in this paper are the degree distribution and average values of the call numbers, call volumes, call durations, by using the mobile phone call data of different holidays and workdays and different scales of day and period, which are produced by the 3.3 million subscribers registered in a western city in China. Research shows that at all scales the number degrees, volume degrees and duration d...
What are the features of mobile phone graph along the time? How to model these features? What are th...
The quantitative understanding of human behavior is a key issue in modern science. Recently, inhomog...
Due to the rapid growth in the use of smartphones, the digital traces (e.g., mobile phone data, call...
Mobile phone calling is one of the most widely used communication methods in modern society. The rec...
Mobile social network (MSN) is a typical social network where one or more individuals of similar int...
This article provides a novel and practical approach for investigating the characteristics of interc...
This article aims to provide new results about the intraday degree sequence distribution considering...
Abstract. Call duration analysis is a key issue for understanding un-derlying patterns of (mobile) p...
Nowadays a lot of different researches are performed based on call duration distributions (CDD) anal...
Nowadays a lot of different researches are performed based on call duration distributions (CDD) anal...
International audienceIn this paper, we address some sociological and topological issues associated...
Abstract. Call duration analysis is a key issue for understanding un-derlying patterns of (mobile) p...
Mobile social network is a typical social network where one or more individuals of similar interests...
The quantitative understanding of human behavior is a key issue in modern science. Recently, inhomog...
We analyze a large-scale mobile phone call dataset containing information on the age, gender, and bi...
What are the features of mobile phone graph along the time? How to model these features? What are th...
The quantitative understanding of human behavior is a key issue in modern science. Recently, inhomog...
Due to the rapid growth in the use of smartphones, the digital traces (e.g., mobile phone data, call...
Mobile phone calling is one of the most widely used communication methods in modern society. The rec...
Mobile social network (MSN) is a typical social network where one or more individuals of similar int...
This article provides a novel and practical approach for investigating the characteristics of interc...
This article aims to provide new results about the intraday degree sequence distribution considering...
Abstract. Call duration analysis is a key issue for understanding un-derlying patterns of (mobile) p...
Nowadays a lot of different researches are performed based on call duration distributions (CDD) anal...
Nowadays a lot of different researches are performed based on call duration distributions (CDD) anal...
International audienceIn this paper, we address some sociological and topological issues associated...
Abstract. Call duration analysis is a key issue for understanding un-derlying patterns of (mobile) p...
Mobile social network is a typical social network where one or more individuals of similar interests...
The quantitative understanding of human behavior is a key issue in modern science. Recently, inhomog...
We analyze a large-scale mobile phone call dataset containing information on the age, gender, and bi...
What are the features of mobile phone graph along the time? How to model these features? What are th...
The quantitative understanding of human behavior is a key issue in modern science. Recently, inhomog...
Due to the rapid growth in the use of smartphones, the digital traces (e.g., mobile phone data, call...