A First Course in Network Science

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Release : 2020-01-30
Genre : Science
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Book Rating : 612/5 ( reviews)

A First Course in Network Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A First Course in Network Science write by Filippo Menczer. This book was released on 2020-01-30. A First Course in Network Science available in PDF, EPUB and Kindle. Networks are everywhere: networks of friends, transportation networks and the Web. Neurons in our brains and proteins within our bodies form networks that determine our intelligence and survival. This modern, accessible textbook introduces the basics of network science for a wide range of job sectors from management to marketing, from biology to engineering, and from neuroscience to the social sciences. Students will develop important, practical skills and learn to write code for using networks in their areas of interest - even as they are just learning to program with Python. Extensive sets of tutorials and homework problems provide plenty of hands-on practice and longer programming tutorials online further enhance students' programming skills. This intuitive and direct approach makes the book ideal for a first course, aimed at a wide audience without a strong background in mathematics or computing but with a desire to learn the fundamentals and applications of network science.

A First Course in Network Science

Download A First Course in Network Science PDF Online Free

Author :
Release : 2020-01-30
Genre : Business & Economics
Kind :
Book Rating : 137/5 ( reviews)

A First Course in Network Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A First Course in Network Science write by Filippo Menczer. This book was released on 2020-01-30. A First Course in Network Science available in PDF, EPUB and Kindle. A practical introduction to network science for students across business, cognitive science, neuroscience, sociology, biology, engineering and other disciplines.

Network Science

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Release : 2016-07-21
Genre : Computers
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Book Rating : 269/5 ( reviews)

Network Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Network Science write by Albert-László Barabási. This book was released on 2016-07-21. Network Science available in PDF, EPUB and Kindle. Illustrated throughout in full colour, this pioneering text is the only book you need for an introduction to network science.

A First Course in Network Theory

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Release : 2015
Genre : Science
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Book Rating : 457/5 ( reviews)

A First Course in Network Theory - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A First Course in Network Theory write by Ernesto Estrada. This book was released on 2015. A First Course in Network Theory available in PDF, EPUB and Kindle. The study of network theory is a highly interdisciplinary field, which has emerged as a major topic of interest in various disciplines ranging from physics and mathematics, to biology and sociology. This book promotes the diverse nature of the study of complex networks by balancing the needs of students from very different backgrounds. It references the most commonly used concepts in network theory, provides examples of their applications in solving practical problems, and clear indications on how to analyse their results. In the first part of the book, students and researchers will discover the quantitative and analytical tools necessary to work with complex networks, including the most basic concepts in network and graph theory, linear and matrix algebra, as well as the physical concepts most frequently used for studying networks. They will also find instruction on some key skills such as how to proof analytic results and how to manipulate empirical network data. The bulk of the text is focused on instructing readers on the most useful tools for modern practitioners of network theory. These include degree distributions, random networks, network fragments, centrality measures, clusters and communities, communicability, and local and global properties of networks. The combination of theory, example and method that are presented in this text, should ready the student to conduct their own analysis of networks with confidence and allow teachers to select appropriate examples and problems to teach this subject in the classroom.

Data Science and Complex Networks

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Release : 2016-11-10
Genre : Science
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Book Rating : 023/5 ( reviews)

Data Science and Complex Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Science and Complex Networks write by Guido Caldarelli. This book was released on 2016-11-10. Data Science and Complex Networks available in PDF, EPUB and Kindle. 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.