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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.
Temporal Network Theory
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.
How to Write a Scientific Paper
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, ...
The Craft of Scientific Presentations
The Craft of Scientific Presentations, 2nd edition aims to strengthen you as a presenter of science and engineering. The book does so by identifying what makes excellent presenters such as Brian Cox, Jane Goodall, Richard Feynman, and Jill Bolte Taylor so strong. In addition, the book explains what causes so many scientific presentations to flounder. One of the most valuable contributions of this text is that it teaches the assertion-evidence approach to scientific presentations. Instead of building presentations, as most engineers and scientists do, on the weak foundation of topic phrases and bulleted lists, this assertion-evidence approach calls for building presentations on succinct messa...
Writing Science
This book takes an integrated approach, using the principles of story structure to discuss every aspect of successful science writing, from the overall structure of a paper or proposal to individual sections, paragraphs, sentences, and words. It begins by building core arguments, analyzing why some stories are engaging and memorable while others are quickly forgotten, and proceeds to the elements of story structure, showing how the structures scientists and researchers use in papers and proposals fit into classical models. The book targets the internal structure of a paper, explaining how to write clear and professional sections, paragraphs, and sentences in a way that is clear and compelling.
An Introduction to Scientific Research
Exceptionally useful guide to pragmatic scientific method: design of experiments and apparatus, analysis of data, sampling and measurement, numerical computation, much more. Broad applications. References. Illustrations.
Designing Science Presentations
Designing Science Presentations: A Visual Guide to Figures, Papers, Slides, Posters, and More, Second Edition, guides scientists of any discipline in the design of compelling science communication. Most scientists never receive formal training in the design, delivery and evaluation of scientific communication, yet these skills are essential for publishing in high-quality journals, soliciting funding, attracting lab personnel, and advancing a career. This clear, readable volume fills that gap, providing visually intensive guidance at every step—from the construction of original figures to the presentation and delivery of those figures in papers, slideshows, posters and websites. The book pr...
Published
Do you want to turn your research idea into a published journal article but don't know where to start? Or maybe you're in the middle of a research project and feel frustrated, alone, and stuck?My first scientific research project left me feeling pretty daunted, too. In this practical and accessible book, I'll guide you past the hurdles that make research so challenging and lead you through the research process from start to finish. I will save you time, effort, and frustration on your journey to getting published.This book organizes the research journey into a clear, step-by-step process. The process covers seven phases: review the literature, outline the project, run the experiment, visualize the findings, write the first draft, edit into the second draft, and revise until published. The book breaks each phase into a series of smaller tasks, encourages through the anxieties that hinder progress, and discusses strategies for boosting productivity.
Scientific Writing = Thinking in Words
Telling people about research is just as important as doing it. But many competent researchers are wary of scientific writing, despite its importance for sharpening scientific thinking, advancing their career, obtaining funding for their work and growing the prestige of their institution. This second edition of David Lindsay’s popular book Scientific Writing = Thinking in Words presents a way of thinking about writing that builds on the way good scientists think about research. The simple principles in this book will help you to clarify the objectives of your work and present your results with impact. Fully updated throughout, with practical examples of good and bad writing, an expanded chapter on writing for non-scientists and a new chapter on writing grant applications, this book makes communicating research easier and encourages researchers to write confidently. It is an ideal reference for researchers preparing journal articles, posters, conference presentations, reviews and popular articles; for students preparing theses; and for researchers whose first language is not English.
Brain Morphometry
This volume presents the latest methods and approaches used to better characterize the properties of the structural human brain, and also explores various dysfunctional and non-dysfunctional neuroanatomical variations. This book is divided into 3 parts: methods, non-clinical applications, and clinical applications. The chapters in Part 1 talk about methods to study cortical thickness and the general linear model. Part 2 covers changes in brain structure from birth to adulthood, and morphometry of the corpus callosum. Part 3 discusses applications to study Alzheimer’s Disease, Parkinson’s Disease, epilepsy, Schizophrenia, and suicide. In Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory. Cutting-edge and comprehensive, Brain Morphometry is a valuable resource for students, clinicians, and researchers who are interested in this developing field.
