Community detection in networks is one of the most popular topics of modern network
science. Communities, or clusters, are usually groups of vertices having higher probability of …

The development of new technologies for mapping structural and functional brain
connectivity has led to the creation of comprehensive network maps of neuronal circuits and …

We present a consensus atlas of the human brain transcriptome in Alzheimer's disease
(AD), based on meta-analysis of differential gene expression in 2,114 postmortem samples …

Many community detection algorithms have been developed to uncover the mesoscopic
properties of complex networks. However how good an algorithm is, in terms of accuracy …

Weighted signed networks (WSNs) are networks in which edges are labeled with positive
and negative weights. WSNs can capture like/dislike, trust/distrust, and other social …

Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to
methods for unraveling the extraordinary complexity of neuronal connectivity. From the …

There is widespread agreement that status or standing in the international system is a critical
element in world politics. The desire for status is recognized as a key factor in nuclear …

Community structure is ubiquitous in real-world complex networks. The task of community
detection over these networks is of paramount importance in a variety of applications …

Real-world complex systems may be mathematically modeled as graphs, revealing
properties of the system. Here we study graphs of functional brain organization in healthy …

Link prediction in complex networks has attracted increasing attention from both physical
and computer science communities. The algorithms can be used to extract missing …