The sheer amount of available apps allows users to customize smartphones to match their
personality and interests. As one of the first large-scale studies, the impact of personality …

Today, personal data is becoming a new economic asset. Personal data which generated
from our smartphone can be used for many purposes such as identification …

With the rapid growth in smartphone usage, it has been more and more important to
understand the patterns of mobile data consumption by users. In this paper, we present an …

The existence of gender differences in the structure and composition of social networks is a
well established finding in the social and behavioral sciences, but researchers continue to …

Due to the recent proliferation of mobile applications, it has become essential to obtain a
better understanding of how people use their devices and applications. However, it is not …

The health crisis following the spread of the coronavirus (COVID-19) around the world has
had an unprecedented impact on the consumption behavior of consumers. The confinement …

In this paper, we study the interaction patterns among university students whose interactions
are recorded in an aligned multilayer social network. One layer of this network represents …

The difficulty of product differentiation has encouraged machinery manufacturers to
transform their business models from selling products towards providing services. On the …

We study the evolution dynamics in attribute-rich social networks. We start with
demonstrating how node attributes can be used to predict the formation and dissolution of …

Graphs are naturally used to model real-world networks. Among various types of graph,
complex networks, which are a type of graphs (networks) that exhibits unique topology …