The power of any kind of network approach lies in the ability to simplify a complex system so
that one can better understand its function as a whole. Sometimes it is beneficial, however …

Each complex network (or class of networks) presents specific topological features which
characterize its connectivity and highly influence the dynamics of processes executed on the …

We have produced gene expression profiles of all 302 neurons of the C. elegans nervous
system that match the single-cell resolution of its anatomy and wiring diagram. Our results …

Large networks are becoming a widely used abstraction for studying complex systems in a
broad set of disciplines, ranging from social-network analysis to molecular biology and …

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

A large body of work has been devoted to defining and identifying clusters or communities in
social and information networks, ie, in graphs in which the nodes represent underlying …

Random graph null models have found widespread application in diverse research
communities analyzing network datasets, including social, information, and economic …

A central idea in marketing and diffusion research is that influentials—a minority of
individuals who influence an exceptional number of their peers—are important to the …

Ownership is a key aspect of large-scale software development. We examine the
relationship between different ownership measures and software failures in two large …

A large body of work has been devoted to identifying community structure in networks. A
community is often though of as a set of nodes that has more connections between its …