Complex Networks IV Proceedings of the 4th Workshop on Complex Networks CompleNet 2013 /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Ghoshal, Gourab. (Editor), Poncela-Casasnovas, Julia. (Editor), Tolksdorf, Robert. (Editor)
• Format: Electronic
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Series: Studies in Computational Intelligence, 476
• Subjects: Engineering.; Artificial intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-36844-8

 A network is a mathematical object consisting of a set of points�(called vertices or nodes)�that are connected to each other in some�fashion by lines (called edges). Turns out this�simple description�corresponds to a bewildering array of systems in the real world,�ranging from technological ones such as the Internet and World�Wide Web, biological networks such as that of connections of the�nervous systems or blood vessels, food webs, protein interactions,�infrastructural systems such as networks of roads, airports or the power-grid,�to patterns of social acquaintance such as friendship, network of�Hollywood actors, connections between business houses and many more. Recent years have witnessed a substantial amount of interest within the�scientific community in the properties of these networks. The emergence�of the internet in particular, coupled with the widespread availability of�inexpensive computing resources has facilitated studies ranging from�large scale empirical analysis of networks in the real world, to the development�of theoretical models and tools to explore the various properties of these systems.�The study of networks is broadly interdisciplinary and central developments have�occurred in many fields, including mathematics, physics, computer and information�sciences, biology, and the social sciences. This book brings together a collection�of cutting-edge research in the field from a�diverse�array of researchers ranging from�physicists to social scientists, and presents them in a�coherent fashion, highlighting the�strong interconnections between the different areas. Topics�included are social networks and social media, opinion and innovation diffusion, syncronization, transportation networks and human mobility, as well as theory, modeling and metrics of Complex Networks.