Heterogeneous information networks usually contain different kinds of nodes and
distinguishing types of relations, which can preserve more information than homogeneous …

Prior studies using exploratory factor analysis provide evidence that negative symptoms are
best conceptualized as 2 dimensions reflecting diminished motivation and expression …

Directionality is a crucial ingredient in many complex networks in which information, energy
or influence are transmitted. In such directed networks, analysing flows (and not only the …

In many real-world networks, the ability to withstand targeted or global attacks; extinctions; or
shocks is vital to the survival of the network itself, and of dependent structures such as …

Community detection is expensive, and the cost generally depends at least linearly on the
number of vertices in the graph. We propose working with a reduced graph that has many …

For a huge number of features versus a small size of samples, feature selection methods are
useful preprocessing approaches that could eliminate the irrelevant and redundant features …

Neurons receive synaptic inputs on extensive neurite arbors. How information is organized
across arbors and how local processing in neurites contributes to circuit function is mostly …

Dynamical changes have recently been tracked in functional connectivity (FC) calculated
from resting-state functional magnetic resonance imaging (R-fMRI), when a person is …

Many modern institutions seek to be inclusive, but the quantitative benefits of this goal are
not always communicated effectively to stakeholders. To facilitate this important dialogue …

Real networks show nontrivial topological properties such as community structure and long-
tail degree distribution. Moreover, many network analysis applications are based on …