Abstract. Call duration analysis is a key issue for understanding un-derlying patterns of (mobile) phone users. In this paper, we study to which extent the duration of a call between users can be predicted in a dynamic mobile network. We have collected a mobile phone call data from a mobile operating company, which results in a network of 272,345 users and 3.9 million call records during two months. We first exam-ine the dynamic distribution properties of the mobile network including periodicity and demographics. Then we study several important social theories in the call network including strong/weak ties, link homophily, opinion leader and social balance. The study reveals several interesting phenomena such as people with strong ties tend...
Mobile phone calling is one of the most widely used communication methods in modern society. The rec...
In this measurement study, we analyze whether mobile phone users exhibit temporal regularity in thei...
The quantitative understanding of human behavior is a key issue in modern science. Recently, inhomog...
Abstract. Call duration analysis is a key issue for understanding un-derlying patterns of (mobile) p...
In this paper we predict outgoing mobile phone calls using machine learning and time clusters based ...
Big Data on electronic records of social interactions allow approaching human behaviour an...
Big Data on electronic records of social interactions allow approaching human behaviour and socialit...
We analyze a large-scale mobile phone call dataset containing information on the age, gender, and bi...
Nowadays a lot of different researches are performed based on call duration distributions (CDD) anal...
Social ties defined by phone calls made between people can be grouped to various affinity networks, ...
Nowadays a lot of different researches are performed based on call duration distributions (CDD) anal...
We present a link-centric approach to study variation in the mobile phone communication patterns of ...
Based on a dataset provided by a telecommunications operator with fully anonymized information about...
We present a link-centric approach to study variation in the mobile phone communication patterns of ...
The social brain hypothesis has suggested that social network size (and structure) is constrained by...
Mobile phone calling is one of the most widely used communication methods in modern society. The rec...
In this measurement study, we analyze whether mobile phone users exhibit temporal regularity in thei...
The quantitative understanding of human behavior is a key issue in modern science. Recently, inhomog...
Abstract. Call duration analysis is a key issue for understanding un-derlying patterns of (mobile) p...
In this paper we predict outgoing mobile phone calls using machine learning and time clusters based ...
Big Data on electronic records of social interactions allow approaching human behaviour an...
Big Data on electronic records of social interactions allow approaching human behaviour and socialit...
We analyze a large-scale mobile phone call dataset containing information on the age, gender, and bi...
Nowadays a lot of different researches are performed based on call duration distributions (CDD) anal...
Social ties defined by phone calls made between people can be grouped to various affinity networks, ...
Nowadays a lot of different researches are performed based on call duration distributions (CDD) anal...
We present a link-centric approach to study variation in the mobile phone communication patterns of ...
Based on a dataset provided by a telecommunications operator with fully anonymized information about...
We present a link-centric approach to study variation in the mobile phone communication patterns of ...
The social brain hypothesis has suggested that social network size (and structure) is constrained by...
Mobile phone calling is one of the most widely used communication methods in modern society. The rec...
In this measurement study, we analyze whether mobile phone users exhibit temporal regularity in thei...
The quantitative understanding of human behavior is a key issue in modern science. Recently, inhomog...