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Author: Naoki Masuda
Publisher: World Scientific
ISBN: 1786349175
Category : Science
Languages : en
Pages : 300
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Book Description
Network science offers a powerful language to represent and study complex systems composed of interacting elements — from the Internet to social and biological systems. A Guide to Temporal Networks presents recent theoretical and modelling progress in the emerging field of temporally varying networks and provides connections between the different areas of knowledge required to address this multi-disciplinary subject. After an introduction to key concepts on networks and stochastic dynamics, the authors guide the reader through a coherent selection of mathematical and computational tools for network dynamics. Perfect for students and professionals, this book is a gateway to an active field of research developing between the disciplines of applied mathematics, physics and computer science, with applications in others including social sciences, neuroscience and biology.This second edition extensively expands upon the coverage of the first edition as the authors expertly present recent theoretical and modelling progress in the emerging field of temporal networks, providing the keys to (and connections between) the different areas of knowledge required to address this multi-disciplinary problem.
Author: Naoki Masuda
Publisher: World Scientific
ISBN: 1786349175
Category : Science
Languages : en
Pages : 300
Get Book Here
Book Description
Network science offers a powerful language to represent and study complex systems composed of interacting elements — from the Internet to social and biological systems. A Guide to Temporal Networks presents recent theoretical and modelling progress in the emerging field of temporally varying networks and provides connections between the different areas of knowledge required to address this multi-disciplinary subject. After an introduction to key concepts on networks and stochastic dynamics, the authors guide the reader through a coherent selection of mathematical and computational tools for network dynamics. Perfect for students and professionals, this book is a gateway to an active field of research developing between the disciplines of applied mathematics, physics and computer science, with applications in others including social sciences, neuroscience and biology.This second edition extensively expands upon the coverage of the first edition as the authors expertly present recent theoretical and modelling progress in the emerging field of temporal networks, providing the keys to (and connections between) the different areas of knowledge required to address this multi-disciplinary problem.
Author: Naoki Masuda
Publisher: Wspc (Europe)
ISBN:
Category : Computational complexity
Languages : en
Pages : 260
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Book Description
Mathematical toolbox -- Static networks -- Analysis of temporal networks -- Models of temporal networks -- Dynamics on temporal networks
Author: Petter Holme
Publisher: Springer
ISBN: 3642364616
Category : Science
Languages : en
Pages : 356
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Book Description
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.
Author: Petter Holme
Publisher: Springer Nature
ISBN: 3031303997
Category : Science
Languages : en
Pages : 486
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Book Description
This book focuses on the theoretical side of temporal network research and gives an overview of the state of the art in the field. Curated by two pioneers in the field who have helped to shape it, the book contains contributions from many leading researchers. Temporal networks fill the border area between network science and time-series analysis and are relevant for epidemic modeling, optimization of transportation and logistics, as well as understanding biological phenomena. Over the past 20 years, network theory has proven to be one of the most powerful tools for studying and analyzing complex systems. Temporal network theory is perhaps the most recent significant development in the field in recent years, with direct applications to many of the “big data” sets. This book appeals to students, researchers, and professionals interested in theory and temporal networks—a field that has grown tremendously over the last decade. This second edition of Temporal Network Theory extends the first with three chapters highlighting recent developments in the interface with machine learning.
Author: Ted G. Lewis
Publisher: John Wiley & Sons
ISBN: 1118211014
Category : Computers
Languages : en
Pages : 440
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Book Description
A comprehensive look at the emerging science of networks Network science helps you design faster, more resilient communication networks; revise infrastructure systems such as electrical power grids, telecommunications networks, and airline routes; model market dynamics; understand synchronization in biological systems; and analyze social interactions among people. This is the first book to take a comprehensive look at this emerging science. It examines the various kinds of networks (regular, random, small-world, influence, scale-free, and social) and applies network processes and behaviors to emergence, epidemics, synchrony, and risk. The book's uniqueness lies in its integration of concepts across computer science, biology, physics, social network analysis, economics, and marketing. The book is divided into easy-to-understand topical chapters and the presentation is augmented with clear illustrations, problems and answers, examples, applications, tutorials, and a discussion of related Java software. Chapters cover: Origins Graphs Regular Networks Random Networks Small-World Networks Scale-Free Networks Emergence Epidemics Synchrony Influence Networks Vulnerability Net Gain Biology This book offers a new understanding and interpretation of the field of network science. It is an indispensable resource for researchers, professionals, and technicians in engineering, computing, and biology. It also serves as a valuable textbook for advanced undergraduate and graduate courses in related fields of study.
Author: Naoki Masuda
Publisher: Springer
ISBN: 9811052875
Category : Mathematics
Languages : en
Pages : 345
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Book Description
This book covers recent developments in epidemic process models and related data on temporally varying networks. It is widely recognized that contact networks are indispensable for describing, understanding, and intervening to stop the spread of infectious diseases in human and animal populations; “network epidemiology” is an umbrella term to describe this research field. More recently, contact networks have been recognized as being highly dynamic. This observation, also supported by an increasing amount of new data, has led to research on temporal networks, a rapidly growing area. Changes in network structure are often informed by epidemic (or other) dynamics, in which case they are referred to as adaptive networks. This volume gathers contributions by prominent authors working in temporal and adaptive network epidemiology, a field essential to understanding infectious diseases in real society.
Author: Howard W. Francis
Publisher: Thieme
ISBN: 1604064102
Category : Medical
Languages : en
Pages : 152
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Book Description
Temporal Bone Dissection Guide elucidates the key concepts of otologic surgery in a user-friendly manner that is refreshingly accessible to beginning surgeons. Users are provided with only the most relevant information to ensure they are not distracted from the mail goal -- to hone their surgical skills so as to mature into safe and effective temporal bone surgeons.The organization of this highly visual guidebook is designed to teach users to confidently navigate the complex anatomy of the temporal bone and to visualize the surgical steps within a clinical context. Concise descriptions of procedure, anatomy, and surgical objectives are accompanied by clearly labeled image sequences.Features 141 detailed, high-quality drawings depict each surgical step Histologic sections and CT images illustrate the intricate anatomic relationships within the temporal bone A convenient lay-flat wire binding facilitates easy reference in the lab Invaluable advice from the experts, including tips on precisely how to sculpt cortical planes, the technical nuances of the mastoidectomy, and much more The ideal companion in the temporal bone lab, this step-by-step guide will provide residents in otolaryngology--head and neck surgery and skull base surgery with a firm grasp of the basics. It is also an effective tool for specialists who need to refresh their dissection skills.
Author: Jari Saramäki
Publisher: Independently Published
ISBN: 9781730784163
Category :
Languages : en
Pages : 120
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Book Description
What if writing scientific papers was faster, easier, and a bit less painful? This book provides a step-by-step, top-down approach that makes it easier to turn your hard-won results into research papers that your fellow scientists want to read and cite. "I just wrote a (rough) first draft of a paper during a 3-hour flight, and if it wasn't for these teachings, this would have taken me days (if not weeks)!" -Talayeh Aledavood, James S. McDonnell Postdoctoral Fellow, University of Helsinki The book's systematic approach builds on what I've learned through coauthoring close to 100 research papers with students. You'll learn how to outline your paper from top to down, how to develop your story, and how to think about what to write before you write it. You'll also learn how to deal with many issues that writers of science commonly face, from the fear of the blank page to dealing with critical reviews. Here's what you get: A complete step-by-step plan for writing a scientific paper, from choosing which results to include to wrapping up the paper in the Discussion section Concrete, actionable, and practical advice, from a paragraph-level template for the Introduction to guidance on preparing plots and figures Lots of writing tips, from placing signposts in your text to shortening and straightening your sentences This book has been written for the PhD student who is aiming to write a journal article on her research results, but it should also be useful to any scientist who has ever found writing difficult. Whatever the stage of your career, if you'd like to learn how to write research papers systematically and efficiently, this is the book for you! The book includes PART I: STORY 1. How To Choose The Key Point Of Your Paper 2. How To Choose The Supporting Results 3. How To Write The Abstract 4. How To Choose The Title PART II: OUTLINE 5. The Power Of Outlining 6. How To Write The Introduction, Part I: Structure 7. How To Write The Introduction, Part II: A Four-Paragraph Template 8. How To Write The Introduction, Part III: The Lede 9. How To Write The Materials And Methods 10. How To Write The Results, Part I: Figures 11. How To Write The Results, Part II: Text 12. How To Write The Discussion PART III: WORDS 13. How Does Your Reader Read? 14. How To Write Your First Draft 15. How To Edit Your First Draft 16. Tips For Revising Content And Structure 17. Tips For Editing Sentences PART IV: IT'S NOT OVER YET 18. How To Write The Cover Letter 19. How To Deal With Reviews About the author I am a professor of computational science and an experienced academic with around 100 published papers. My research is interdisciplinary, to say the least: I have studied the social fabric of smartphone users, the genetic structure of ant supercolonies, the connectome of the human brain, networks of public transport, and the molecular biology of the human immune system, to name a few. So one could say that I have a broad range of scientific interests (or that I simply cannot choose). But that's exactly the way I like it!
Author: Sidney Redner
Publisher: Cambridge University Press
ISBN: 0521652480
Category : Business & Economics
Languages : en
Pages : 332
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Book Description
The basic theory presented in a way which emphasizes intuition, problem-solving and the connections with other fields.
Author: Katy Borner
Publisher: MIT Press
ISBN: 0262526190
Category : Language Arts & Disciplines
Languages : en
Pages : 310
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Book Description
A guide to the basics of information visualization that teaches nonprogrammers how to use advanced data mining and visualization techniques to design insightful visualizations. In the age of Big Data, the tools of information visualization offer us a macroscope to help us make sense of the avalanche of data available on every subject. This book offers a gentle introduction to the design of insightful information visualizations. It is the only book on the subject that teaches nonprogrammers how to use open code and open data to design insightful visualizations. Readers will learn to apply advanced data mining and visualization techniques to make sense of temporal, geospatial, topical, and network data. The book, developed for use in an information visualization MOOC, covers data analysis algorithms that enable extraction of patterns and trends in data, with chapters devoted to “when” (temporal data), “where” (geospatial data), “what” (topical data), and “with whom” (networks and trees); and to systems that drive research and development. Examples of projects undertaken for clients include an interactive visualization of the success of game player activity in World of Warcraft; a visualization of 311 number adoption that shows the diffusion of non-emergency calls in the United States; a return on investment study for two decades of HIV/AIDS research funding by NIAID; and a map showing the impact of the HiveNYC Learning Network. Visual Insights will be an essential resource on basic information visualization techniques for scholars in many fields, students, designers, or anyone who works with data.
