The modern science of networks has brought significant advances to our understanding of
complex systems. One of the most relevant features of graphs representing real systems is …

Although graph theory has been around since the 18th century, the field of network science
is more recent and continues to gain popularity, particularly in the field of neuroimaging. The …

Many forms of cancer have multiple subtypes with different causes and clinical outcomes.
Somatic tumor genome sequences provide a rich new source of data for uncovering these …

The structure of scientific collaborations has been the object of intense study both for its
importance for innovation and scientific advancement, and as a model system for social …

Although widely used in practice, the behavior and accuracy of the popular module
identification technique called modularity maximization is not well understood in practical …

In order to understand the nervous system, it is necessary to know the synaptic connections
between the neurons, yet to date, only the wiring diagram of the adult hermaphrodite of the …

In this paper, we first discuss the definition of modularity (Q) used as a metric for community
quality and then we review the modularity maximization approaches which were used for …

Detecting communities in complex networks accurately is a prime challenge, preceding
further analyses of network characteristics and dynamics. Until now, community detection …

Recent developments in network theory have allowed for the study of the structure and
function of the human brain in terms of a network of interconnected components. Among the …

Graph vertices are often organized into groups that seem to live fairly independently of the
rest of the graph, with which they share but a few edges, whereas the relationships between …