Social network based applications have experienced exponential growth in recent years.
One of the reasons for this rise is that this application domain offers a particularly fertile …

Over the past two decades, complex network theory provided the ideal framework for
investigating the intimate relationships between the topological properties characterizing the …

Abstract The coronavirus disease 2019 (COVID-19) pandemic caused a rapid shift to full-
time remote work for many information workers. Viewing this shift as a natural experiment in …

Background: A longstanding barrier to progress in psychiatry, both in clinical settings and
research trials, has been the persistent difficulty of accurately and reliably quantifying …

In recent years the research community has accumulated overwhelming evidence for the
emergence of complex and heterogeneous connectivity patterns in a wide range of …

The broad adoption and use of smartphones has led to fundamentally new opportunities for
capturing social, behavioral, and cognitive phenotypes in free-living settings, outside of …

Modern graph embedding procedures can efficiently process graphs with millions of nodes.
In this paper, we propose GEMSEC-a graph embedding algorithm which learns a clustering …

The organization of a cell emerges from the interactions in protein networks. The
interactome is critically dependent on the strengths of interactions and the cellular …

Research on growth of innovations introduced to the market has gradually shifted its focus
from aggregate-level diffusion to exploring how growth is influenced by a given social …

A revelatory exploration of the hottest trend in technology and the dramatic impact it will
have on the economy, science, and society at large. Which paint color is most likely to tell …