This book provides a comprehensive yet short description of the basic concepts of Complex Network theory. In contrast to other books the authors present these concepts through real case studies. The application topics span from Foodwebs, to the Internet, the World Wide Web and the Social Networks, passing through the International Trade Web and Financial time series. The final part is devoted to definition and implementation of the most important network models. The text provides information on the structure of the data and on the quality of available datasets. Furthermore it provides a series of codes to allow immediate implementation of what is theoretically described in the book. Readers already used to the concepts introduced in this book can learn the art of coding in Python by using the online material. To this purpose the authors have set up a dedicated web site where readers can download and test the codes. The whole project is aimed as a learning tool for scientists and practitioners, enabling them to begin working instantly in the field of Complex Networks.
4–5-1 is a formation that ensures both defence protection and balance and, when developing offensive game against an opposing team under pressure, a combination of both simple and practical attacking game. Coaching a team at this level also means facing daily difficulties, confronting others, produce ideas, take decisions on many fronts, dictate rules and ensure that those rules are followed. Players themselves, during the season, will acknowledge that compliance with the rules and discipline represent the basic requirements for working well and achieving results. I believe, therefore, that the best way to enforce the concept of democracy in a group is to impose the respect of roles and hierarchy. A positive mentality is the key to success. Players can only improve mentally, physically and tactically when they have a positive mentality. This is why a coach should always aim to build and consolidate it within a group.
This book is the culmination of three years of research effort on a multidisciplinary project in which physicists, mathematicians, computer scientists and social scientists worked together to arrive at a unifying picture of complex networks. The contributed chapters from a reference for the various problems in data analysis visualization and modeling of complex networks.
At the beginning of World War II, Prince Junio Valerio Borghese, dashing Italian nobleman, assembled the famous Decima MAS naval unit-the first modern naval commando squad. Borghese's "frogmen" were trained to fight undercover and underwater with small submarines and assault boats armed with a variety of destructive torpedoes. The covert tactics he and the Decima MAS developed, including the use of midget submarines, secret nighttime operations, and small teams armed with explosives, have become a standard for special forces around the world to this very day.After the Italian capitulation in 1943, Borghese determinedly fought on as a Fascist commando leader. After the war, he became a man of mystery, variously said to be involved with several right-wing conspiracies, abortive coups, and clandestine activity. The Prince's death in 1974 was every bit as mysterious as his life.Greene and Massignani have drawn upon official archives as well as information from Allied and Axis veterans in an unprecedented attempt to separate fact from fantasy in this detailed examination of Borghese, the Decima MAS, and the Italian naval special forces.
The availability of large data sets has allowed researchers to uncover complex properties such as large-scale fluctuations and heterogeneities in many networks, leading to the breakdown of standard theoretical frameworks and models. Until recently these systems were considered as haphazard sets of points and connections. Recent advances have generated a vigorous research effort in understanding the effect of complex connectivity patterns on dynamical phenomena. This book presents a comprehensive account of these effects. A vast number of systems, from the brain to ecosystems, power grids and the internet, can be represented as large complex networks. This book will interest graduate students and researchers in many disciplines, from physics and statistical mechanics to mathematical biology and information science. Its modular approach allows readers to readily access the sections of most interest to them, and complicated maths is avoided so the text can be easily followed by non-experts in the subject.
The two volume set, LNCS 9886 + 9887, constitutes the proceedings of the 25th International Conference on Artificial Neural Networks, ICANN 2016, held in Barcelona, Spain, in September 2016. The 121 full papers included in this volume were carefully reviewed and selected from 227 submissions. They were organized in topical sections named: from neurons to networks; networks and dynamics; higher nervous functions; neuronal hardware; learning foundations; deep learning; classifications and forecasting; and recognition and navigation. There are 47 short paper abstracts that are included in the back matter of the volume.
Le nostre vite sono pervase dai dati che noi stessi produciamo interagendo sui social e con i nostri device. «Siamo fatti della stessa sostanza dei dati», direbbe oggi Shakespeare: su Facebook, Twitter e WhatsApp, la nostra vita sociale non è altro che una montagna di informazioni che aspetta di essere analizzata. Anche le aziende producono e accumulano dati di ogni tipo. Ed è in arrivo la nuova ondata dell’internet of things, degli oggetti connessi, che farà crescere esponenzialmente l’universo digitale. Per entrare in questo mondo non basta la tecnologia, occorre un nuovo tipo di scienza: la data science. I dati guidano la digital transformation delle aziende e promettono di diventare il petrolio che alimenterà business innovativi e addestrerà le emergenti intelligenze arti_ ciali. Il futuro apparterrà a chi sarà in grado di gestire questa massa di dati e soprattutto a chi riuscirà a estrarne il potenziale valore con i più avanzati algoritmi di machine learning.
This book guides the reader in the analysis of big-data by providing theoretical and practical instruments to tame the complexity of such systems. Together with support provided by the companion website, it constitutes a simple and useful handbook for data analysts.
This work guides the reader in the analysis of big-data by providing theoretical and practical instruments to tame the complexity of such systems. Together with support provided by the companion website, it constitutes a simple and useful handbook for data analysts.
Tetralogy of Fallot is the most common form of cyanotic congenital heart disease, and one of the first to be successfully repaired by congenital heart surgeons. Although “fixed”, patients born with tetralogy of Fallot cannot be considered “cured”. Improving survival and quality of life for this ever-increasing adult population will continue to challenge the current and future generations of cardiologists. Adult patients with tetralogy of Fallot should be seen by a cardiologist specializing in the care of adults with congenital heart disease, to be monitored for late complications. They need to be checked regularly for any subsequent complications or disturbances of heart rhythm. This monograph is intended as both an introduction to the subject and a timely, comprehensive review, and will be welcomed by adult cardiologists, pediatric cardiologists, internists, surgeons, obstetricians, and intensivists who wish to learn about the most recent discoveries and advances concerning tetralogy of Fallot in adults. It will also be of interest to advanced undergraduates wanting to learn more about the subject.
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