Studies have suggested that propinquity; social, cultural, physical and psychological similarities are major factors in close friendship ties. These studies were subject to human recall of interactions with no details of length or time of interactions. Recently, advancements in mobile technology have enabled the measurement of complex systems of interactions. This study uses social network analysis of data comprising of time-resolved sensed interactions to predict and explain close friendship ties via interactions at different periods, residence (floor) similarity and gender similarity. Results indicate residence (floor) proximity and duration of weekend night interactions have the potential of explaining close friendship ties
People often make social-related trips to perform activities with their friends. An individual's gr...
Ever-increasing emergence of location-aware ubiquitous devices has facilitated collection of time-st...
We analyze a large-scale mobile phone call dataset containing information on the age, gender, and bi...
AbstractStudies have suggested that propinquity; social, cultural, physical and psychological simila...
Data collected from mobile phones have the potential to provide insight into the relational dynamics...
Social media allow for an unprecedented amount of interaction between people online. A fundamental a...
Understanding how people interact and socialize is important in many contexts from disease control t...
Recent advances in data mining and machine learning techniques are focused on exploiting location da...
Social media allow for an unprecedented amount of interaction between people online. A fundamental a...
Wearable sensing platforms like modern smart phones have proven to be effective means in the complex...
This study examines factors associated with the frequency with which users of location-based social ...
Mobile phone communication as digital service generates ever-increasing datasets of human communicat...
Wearable sensing platforms like modern smartphones have proven to be effective means in the complexi...
The purpose of this presentation is to examine the spatial constraints on the location of friends. T...
Mobile phone communication as digital service generates ever-increasing datasets of human communica...
People often make social-related trips to perform activities with their friends. An individual's gr...
Ever-increasing emergence of location-aware ubiquitous devices has facilitated collection of time-st...
We analyze a large-scale mobile phone call dataset containing information on the age, gender, and bi...
AbstractStudies have suggested that propinquity; social, cultural, physical and psychological simila...
Data collected from mobile phones have the potential to provide insight into the relational dynamics...
Social media allow for an unprecedented amount of interaction between people online. A fundamental a...
Understanding how people interact and socialize is important in many contexts from disease control t...
Recent advances in data mining and machine learning techniques are focused on exploiting location da...
Social media allow for an unprecedented amount of interaction between people online. A fundamental a...
Wearable sensing platforms like modern smart phones have proven to be effective means in the complex...
This study examines factors associated with the frequency with which users of location-based social ...
Mobile phone communication as digital service generates ever-increasing datasets of human communicat...
Wearable sensing platforms like modern smartphones have proven to be effective means in the complexi...
The purpose of this presentation is to examine the spatial constraints on the location of friends. T...
Mobile phone communication as digital service generates ever-increasing datasets of human communica...
People often make social-related trips to perform activities with their friends. An individual's gr...
Ever-increasing emergence of location-aware ubiquitous devices has facilitated collection of time-st...
We analyze a large-scale mobile phone call dataset containing information on the age, gender, and bi...