Many real-world networks have high clustering among vertices: vertices that share
neighbours are often also directly connected to each other. A network's clustering can be a …

The study of complex networks has become an important subject over the last decades. It
has been shown that these structures have special features, such as their diameter, or their …

Understanding complex networks in the real world is a nontrivial task. In the study of
community structures we normally encounter several examples of these networks, which …

Complex networks emerging in natural and human-made systems tend to assume small-
world structure. Is there a common mechanism underlying their self-organisation? Our …

Many complex networks exhibit a modular structure of densely connected groups of nodes.
Usually, such a modular structure is uncovered by the optimization of some quality function …

We propose and study a set of algorithms for discovering community structure in networks—
natural divisions of network nodes into densely connected subgroups. Our algorithms all …

The framework of complex networks has been shown to describe adequately a wide class of
complex systems made up of a large number of interacting units. In this framework, a node is …

Networks science plays an enormous role in many aspects of modern society from
distributing electrical power across nations to spreading information and social networking …

A hierarchy of increasingly coarse versions of a network allows one to represent the network
on multiple scales at the same time. Often, the elementary operation for generating a …

Abstract Burt's Structural Hole Theory provides a theoretical foundation for individuals in a
network to strategically seek a position in the network that gives them advantages by …