Random walks are ubiquitous in the sciences, and they are interesting from both theoretical
and practical perspectives. They are one of the most fundamental types of stochastic …

The arrangements of particles and forces in granular materials have a complex organization
on multiple spatial scales that range from local structures to mesoscale and system-wide …

Defining digital humanities might be an endless debate if we stick to the discussion about
the boundaries of this concept as an academic “discipline”. In an attempt to concretely …

Most methods proposed to uncover communities in complex networks rely on combinatorial
graph properties. Usually an edge-counting quality function, such as modularity, is optimized …

It is common in the study of networks to investigate intermediate-sized (or “meso-scale”)
features to try to gain an understanding of network structure and function. For example …

Network theory has been widely used to describe complex systems in the real world.
However, following the research of networks science, a network with one relationship in it …

We present a graph-theoretical approach to data clustering, which combines the creation of
a graph from the data with Markov Stability, a multiscale community detection framework. We …

This article addresses how uncertainties during crisis situations evolve over time and how
social positions dynamically affect the collective sense-making process in social media crisis …

Research on social networks has become a significant area of investigation in the social
sciences, and social network concepts and tools are widely employed across many …

In recent years researchers have gravitated to Twitter and other social media platforms as
fertile ground for empirical analysis of social phenomena. Social media provides …