Social media offers participatory and collaborative structure and collective knowledge
building capacity to the public information and warning approaches. Therefore, the author …

The expansion of the web and emergence of a large number of social networking sites
(SNS) have empowered users to easily interconnect on a shared platform. A social network …

This book deals with the analysis of the structure of complex networks by combining results
from graph theory, physics, and pattern recognition. The book is divided into two parts. 11 …

Coupled biological and chemical systems, neural networks, social interacting species, the
Internet and the World Wide Web, are only a few examples of systems composed by a large …

The discovery and analysis of community structure in networks is a topic of considerable
recent interest within the physics community, but most methods proposed so far are …

Community detection and analysis is an important methodology for understanding the
organization of various real-world networks and has applications in problems as diverse as …

High-throughput techniques are leading to an explosive growth in the size of biological
databases and creating the opportunity to revolutionize our understanding of life and …

We compare recent approaches to community structure identification in terms of sensitivity
and computational cost. The recently proposed modularity measure is revisited and the …

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 propose a method to find the community structure in complex networks based on an
extremal optimization of the value of modularity. The method outperforms the optimal …