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Around the Tube in 80 Pubs
Around the Tube in 80 Pubs brings you 80 of the best pubs in London, all of them within a 10-minute walk of a tube station. Aimed at visitors and residents alike, the book covers some of the city's most historic pubs as well as some of the best of the newer arrivals, such as the Brewdog chain and the excellent pubs that have been opening at the mainline train stations. There's also a range of pubs chosen for their riverside or canalside locations, meaning you'll be relaxing with a drink by the water within ten minutes of leaving the tube. For overseas visitors not familiar with the tube, the book explains how to use it, how to buy your tickets and how to get to the station you want. For each...
Exploratory Social Network Analysis with Pajek
This is the first textbook on social network analysis integrating theory, applications, and professional software for performing network analysis. The book introduces the main concepts and their applications in social research with exercises. An application section explaining how to perform the network analyses with Pajek software follows each theoretical section.
Pub Light
Pub Light provides a concise, comprehensive guide to assist authors in the daunting task of properly marketing their books. We've compiled the best tips and tricks in the industry from marketing experts, independent authors, and professional bloggers. In 10 easy steps, we reveal the best ways to leverage your audience, from utilizing social media, networking with people you know, getting your book reviewed, and more!
Pub Walks in Underhill Country
"If your companion is walking far ahead, it can be fun to close one eye and hold her between your thumb and forefinger, taking care in case she slips from your grasp, or, conversely, you crush her altogether!" Graham Underhill is a much-loved local watercolourist, ale enthusiast, and self-published guidebook writer - the 'Wainwright of the West Midlands'. But our narrator and guide is a rambler in more ways than one, and what begins as a set of walk instructions soon gives way to what Graham would rather talk about - mostly, his marriage to the beautiful and erudite Sunita. When a well-connected environmentalist and would-be MP takes an interest in Sunita's childhood memoir Graham's happines...
Temporal Networks
The concept of temporal networks is an extension of complex networks as a modeling framework to include information on when interactions between nodes happen. Many studies of the last decade examine how the static network structure affect dynamic systems on the network. In this traditional approach the temporal aspects are pre-encoded in the dynamic system model. Temporal-network methods, on the other hand, lift the temporal information from the level of system dynamics to the mathematical representation of the contact network itself. This framework becomes particularly useful for cases where there is a lot of structure and heterogeneity both in the timings of interaction events and the network topology. The advantage compared to common static network approaches is the ability to design more accurate models in order to explain and predict large-scale dynamic phenomena (such as, e.g., epidemic outbreaks and other spreading phenomena). On the other hand, temporal network methods are mathematically and conceptually more challenging. This book is intended as a first introduction and state-of-the art overview of this rapidly emerging field.
Statistical Analysis of Network Data with R
Networks have permeated everyday life through everyday realities like the Internet, social networks, and viral marketing. As such, network analysis is an important growth area in the quantitative sciences, with roots in social network analysis going back to the 1930s and graph theory going back centuries. Measurement and analysis are integral components of network research. As a result, statistical methods play a critical role in network analysis. This book is the first of its kind in network research. It can be used as a stand-alone resource in which multiple R packages are used to illustrate how to conduct a wide range of network analyses, from basic manipulation and visualization, to summary and characterization, to modeling of network data. The central package is igraph, which provides extensive capabilities for studying network graphs in R. This text builds on Eric D. Kolaczyk’s book Statistical Analysis of Network Data (Springer, 2009).
Christmas Stories
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Network Analysis
‘Network’ is a heavily overloaded term, so that ‘network analysis’ means different things to different people. Specific forms of network analysis are used in the study of diverse structures such as the Internet, interlocking directorates, transportation systems, epidemic spreading, metabolic pathways, the Web graph, electrical circuits, project plans, and so on. There is, however, a broad methodological foundation which is quickly becoming a prerequisite for researchers and practitioners working with network models. From a computer science perspective, network analysis is applied graph theory. Unlike standard graph theory books, the content of this book is organized according to methods for specific levels of analysis (element, group, network) rather than abstract concepts like paths, matchings, or spanning subgraphs. Its topics therefore range from vertex centrality to graph clustering and the evolution of scale-free networks. In 15 coherent chapters, this monograph-like tutorial book introduces and surveys the concepts and methods that drive network analysis, and is thus the first book to do so from a methodological perspective independent of specific application areas.
Forthcoming Books
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Networks, Crowds, and Markets
Are all film stars linked to Kevin Bacon? Why do the stock markets rise and fall sharply on the strength of a vague rumour? How does gossip spread so quickly? Are we all related through six degrees of separation? There is a growing awareness of the complex networks that pervade modern society. We see them in the rapid growth of the internet, the ease of global communication, the swift spread of news and information, and in the way epidemics and financial crises develop with startling speed and intensity. This introductory book on the new science of networks takes an interdisciplinary approach, using economics, sociology, computing, information science and applied mathematics to address fundamental questions about the links that connect us, and the ways that our decisions can have consequences for others.
