The study of epidemics is useful for not only understanding outbreaks and trying to limit their
adverse effects, but also because epidemics are related to social phenomena such as …

'Network'is a heavily overloaded term, so that 'network analysis' means different things to
different people. Specific forms of network analysis are used in the study of diverse …

Twitter can contribute to the continuous professional development of teachers by initiating
and fostering informal learning. Social capital theory can aid to analyze the underlying …

Our study concerns an important current problem, that of diffusion of information in social
networks. This problem has received significant attention from the Internet research …

We introduce NetworKit, an open-source software package for analyzing the structure of
large complex networks. Appropriate algorithmic solutions are required to handle …

Effective memory structures for relational data within R must be capable of representing a
wide range of data while kee** overhead to a minimum. The network package provides …

We elaborate on a linear-time implementation of Collective-Influence (CI) algorithm
introduced by Morone, Makse, Nature 524, 65 (2015) to find the minimal set of influencers in …

Centrality indices are an essential concept in network analysis. For those based on shortest-
path distances the computation is at least quadratic in the number of nodes, since it usually …

Networks play an important role in a wide range of economic phenomena. Despite this fact,
standard economic theory rarely considers economic networks explicitly in its analysis …

Causal discovery from observational and interventional data is challenging due to limited
data and non-identifiability which introduces uncertainties in estimating the underlying …