# Computational Network Science

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### Computational Network Science

Author | : Henry Hexmoor |

Publsiher | : Morgan Kaufmann |

Total Pages | : 129 |

Release | : 2014-09-23 |

Genre | : Computers |

ISBN | : 9780128011560 |

**Download Computational Network Science Book in PDF, Epub and Kindle**

The emerging field of network science represents a new style of research that can unify such traditionally-diverse fields as sociology, economics, physics, biology, and computer science. It is a powerful tool in analyzing both natural and man-made systems, using the relationships between players within these networks and between the networks themselves to gain insight into the nature of each field. Until now, studies in network science have been focused on particular relationships that require varied and sometimes-incompatible datasets, which has kept it from being a truly universal discipline. Computational Network Science seeks to unify the methods used to analyze these diverse fields. This book provides an introduction to the field of Network Science and provides the groundwork for a computational, algorithm-based approach to network and system analysis in a new and important way. This new approach would remove the need for tedious human-based analysis of different datasets and help researchers spend more time on the qualitative aspects of network science research. Demystifies media hype regarding Network Science and serves as a fast-paced introduction to state-of-the-art concepts and systems related to network science Comprehensive coverage of Network Science algorithms, methodologies, and common problems Includes references to formative and updated developments in the field Coverage spans mathematical sociology, economics, political science, and biological networks

### Computational Network Theory

Author | : Matthias Dehmer,Frank Emmert-Streib,Stefan Pickl |

Publsiher | : John Wiley & Sons |

Total Pages | : 278 |

Release | : 2015-11-16 |

Genre | : Medical |

ISBN | : 9783527337248 |

**Download Computational Network Theory Book in PDF, Epub and Kindle**

This comprehensive introduction to computational network theory as a branch of network theory builds on the understanding that such networks are a tool to derive or verify hypotheses by applying computational techniques to large scale network data. The highly experienced team of editors and high-profile authors from around the world present and explain a number of methods that are representative of computational network theory, derived from graph theory, as well as computational and statistical techniques. With its coherent structure and homogenous style, this reference is equally suitable for courses on computational networks.

### Network Science

Author | : Albert-László Barabási,MÃ¡rton PÃ3sfai |

Publsiher | : Cambridge University Press |

Total Pages | : 477 |

Release | : 2016-07-21 |

Genre | : Computers |

ISBN | : 9781107076266 |

**Download Network Science Book 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.

### Computational Network Analysis with R

Author | : Matthias Dehmer,Yongtang Shi,Frank Emmert-Streib |

Publsiher | : John Wiley & Sons |

Total Pages | : 364 |

Release | : 2016-12-12 |

Genre | : Medical |

ISBN | : 9783527339587 |

**Download Computational Network Analysis with R Book in PDF, Epub and Kindle**

This new title in the well-established "Quantitative Network Biology" series includes innovative and existing methods for analyzing network data in such areas as network biology and chemoinformatics. With its easy-to-follow introduction to the theoretical background and application-oriented chapters, the book demonstrates that R is a powerful language for statistically analyzing networks and for solving such large-scale phenomena as network sampling and bootstrapping. Written by editors and authors with an excellent track record in the field, this is the ultimate reference for R in Network Analysis.

### A First Course in Network Science

Author | : Filippo Menczer,Santo Fortunato,Clayton A. Davis |

Publsiher | : Cambridge University Press |

Total Pages | : 275 |

Release | : 2020-01-30 |

Genre | : Business & Economics |

ISBN | : 9781108471138 |

**Download A First Course in Network Science Book 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 Models for Data Science

Author | : Alan Julian Izenman |

Publsiher | : Cambridge University Press |

Total Pages | : 502 |

Release | : 2023-01-05 |

Genre | : Mathematics |

ISBN | : 9781108889032 |

**Download Network Models for Data Science Book in PDF, Epub and Kindle**

This text on the theory and applications of network science is aimed at beginning graduate students in statistics, data science, computer science, machine learning, and mathematics, as well as advanced students in business, computational biology, physics, social science, and engineering working with large, complex relational data sets. It provides an exciting array of analysis tools, including probability models, graph theory, and computational algorithms, exposing students to ways of thinking about types of data that are different from typical statistical data. Concepts are demonstrated in the context of real applications, such as relationships between financial institutions, between genes or proteins, between neurons in the brain, and between terrorist groups. Methods and models described in detail include random graph models, percolation processes, methods for sampling from huge networks, network partitioning, and community detection. In addition to static networks the book introduces dynamic networks such as epidemics, where time is an important component.

### Computational Network Theory

Author | : Matthias Dehmer,Frank Emmert-Streib,Stefan Pickl |

Publsiher | : John Wiley & Sons |

Total Pages | : 200 |

Release | : 2015-04-28 |

Genre | : Medical |

ISBN | : 9783527691531 |

**Download Computational Network Theory Book in PDF, Epub and Kindle**

This comprehensive introduction to computational network theory as a branch of network theory builds on the understanding that such networks are a tool to derive or verify hypotheses by applying computational techniques to large scale network data. The highly experienced team of editors and high-profile authors from around the world present and explain a number of methods that are representative of computational network theory, derived from graph theory, as well as computational and statistical techniques. With its coherent structure and homogenous style, this reference is equally suitable for courses on computational networks.

### Network Science

Author | : Ernesto Estrada,Maria Fox,Desmond J. Higham,Gian-Luca Oppo |

Publsiher | : Springer Science & Business Media |

Total Pages | : 249 |

Release | : 2010-08-24 |

Genre | : Computers |

ISBN | : 9781849963961 |

**Download Network Science Book in PDF, Epub and Kindle**

Network Science is the emerging field concerned with the study of large, realistic networks. This interdisciplinary endeavor, focusing on the patterns of interactions that arise between individual components of natural and engineered systems, has been applied to data sets from activities as diverse as high-throughput biological experiments, online trading information, smart-meter utility supplies, and pervasive telecommunications and surveillance technologies. This unique text/reference provides a fascinating insight into the state of the art in network science, highlighting the commonality across very different areas of application and the ways in which each area can be advanced by injecting ideas and techniques from another. The book includes contributions from an international selection of experts, providing viewpoints from a broad range of disciplines. It emphasizes networks that arise in nature—such as food webs, protein interactions, gene expression, and neural connections—and in technology—such as finance, airline transport, urban development and global trade. Topics and Features: begins with a clear overview chapter to introduce this interdisciplinary field; discusses the classic network science of fixed connectivity structures, including empirical studies, mathematical models and computational algorithms; examines time-dependent processes that take place over networks, covering topics such as synchronisation, and message passing algorithms; investigates time-evolving networks, such as the World Wide Web and shifts in topological properties (connectivity, spectrum, percolation); explores applications of complex networks in the physical and engineering sciences, looking ahead to new developments in the field. Researchers and professionals from disciplines as varied as computer science, mathematics, engineering, physics, chemistry, biology, ecology, neuroscience, epidemiology, and the social sciences will all benefit from this topical and broad overview of current activities and grand challenges in the unfolding field of network science.