Complex Networks V: Proceedings of the 5th Workshop on Complex Networks CompleNet 2014

丛 书 名：Studies in Computational Intelligence

版本说明：1

作     者：Pierluigi Contucci, Ronaldo Menezes, Andrea Omicini, Julia Poncela-Casasnovas (eds.) 

I S B N：(纸本) 9783319054001;9783319054018 

出 版 社：Springer International Publishing 

出 版 年：2014年

页      数：325页

摘      要：A network is a mathematical object consisting of a set of pointsthat are connected to each other in somefashion by lines. It turns out thissimple descriptioncorresponds to a bewildering array of systems in the real world,ranging from technological ones such as the Internet and WorldWide Web, biological networks such as that of connections of thenervous systems, food webs or protein interactions,infrastructural systems such as networks of roads, airports or the power-grid,to patterns of social and professional relationships such as friendship, sex partners, network ofHollywood actors, co-authorship networks and many *** years have witnessed a substantial amount of interest within thescientific community in the properties of these networks. The emergenceof the internet in particular, coupled with the widespread availability ofinexpensive computing resources has facilitated studies ranging fromlarge scale empirical analysis of networks in the real world, to the developmentof theoretical models and tools to explore the various properties of these *** study of networks is broadly interdisciplinary and central developments haveoccurred in many fields, including mathematics, physics, computer and informationsciences, biology and the social *** book brings together a collectionof cutting-edge research in the field from adiversearray of researchers ranging fromphysicists to social scientists and presents them in acoherent fashion, highlighting thestrong interconnections between the different areas. Topicsincluded are social networks and social media, opinion and innovation diffusion,biological and health-related networks, language networks, as well as network theory, community detection,or growth models for Complex Networks.