This study explores the role of customers' social network in their defection from a service
provider. The authors use data on communication among one million customers of a cellular …

Research on predicting movements of mobile users has attracted a lot of attentions in recent
years. Many of those prediction techniques are developed based only on geographic …

Data mining and statistical learning techniques are powerful analysis tools yet to be
incorporated in the domain of urban studies and transportation research. In this work, we …

Identifying the factors that determine academic performance is an essential part of
educational research. Existing research indicates that class attendance is a useful predictor …

Empirical data on contacts between individuals in social contexts play an important role in
providing information for models describing human behavior and how epidemics spread in …

Link prediction and recommendation is a fundamental problem in social network analysis.
The key challenge of link prediction comes from the sparsity of networks due to the strong …

In their article “Predicting Elections with Twitter: What 140 Characters Reveal About Political
Sentiment,” the authors Andranik Tumasjan, Timm O. Sprenger, Philipp G. Sandner, and …

Significant efforts have gone into the development of statistical models for analyzing data in
the form of networks, such as social networks. Most existing work has focused on modeling …

Recent seminal works on human mobility have shown that individuals constantly exploit a
small set of repeatedly visited locations,–. A concurrent study has emphasized the …

We study privacy-preserving tests for proximity: Alice can test if she is close to Bob without
either party revealing any other information about their location. We describe several secure …