Working with Network Data

Working with Network Data PDF Author: James Bagrow
Publisher: Cambridge University Press
ISBN: 1009212613
Category : Science
Languages : en
Pages : 555

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Book Description
Drawing examples from real-world networks, this essential book traces the methods behind network analysis and explains how network data is first gathered, then processed and interpreted. The text will equip you with a toolbox of diverse methods and data modelling approaches, allowing you to quickly start making your own calculations on a huge variety of networked systems. This book sets you up to succeed, addressing the questions of what you need to know and what to do with it, when beginning to work with network data. The hands-on approach adopted throughout means that beginners quickly become capable practitioners, guided by a wealth of interesting examples that demonstrate key concepts. Exercises using real-world data extend and deepen your understanding, and develop effective working patterns in network calculations and analysis. Suitable for both graduate students and researchers across a range of disciplines, this novel text provides a fast-track to network data expertise.

Working with Network Data

Working with Network Data PDF Author: James Bagrow
Publisher: Cambridge University Press
ISBN: 1009212613
Category : Science
Languages : en
Pages : 555

Get Book Here

Book Description
Drawing examples from real-world networks, this essential book traces the methods behind network analysis and explains how network data is first gathered, then processed and interpreted. The text will equip you with a toolbox of diverse methods and data modelling approaches, allowing you to quickly start making your own calculations on a huge variety of networked systems. This book sets you up to succeed, addressing the questions of what you need to know and what to do with it, when beginning to work with network data. The hands-on approach adopted throughout means that beginners quickly become capable practitioners, guided by a wealth of interesting examples that demonstrate key concepts. Exercises using real-world data extend and deepen your understanding, and develop effective working patterns in network calculations and analysis. Suitable for both graduate students and researchers across a range of disciplines, this novel text provides a fast-track to network data expertise.

Statistical Analysis of Network Data

Statistical Analysis of Network Data PDF Author: Eric D. Kolaczyk
Publisher: Springer Science & Business Media
ISBN: 0387881468
Category : Computers
Languages : en
Pages : 397

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Book Description
In recent years there has been an explosion of network data – that is, measu- ments that are either of or from a system conceptualized as a network – from se- ingly all corners of science. The combination of an increasingly pervasive interest in scienti c analysis at a systems level and the ever-growing capabilities for hi- throughput data collection in various elds has fueled this trend. Researchers from biology and bioinformatics to physics, from computer science to the information sciences, and from economics to sociology are more and more engaged in the c- lection and statistical analysis of data from a network-centric perspective. Accordingly, the contributions to statistical methods and modeling in this area have come from a similarly broad spectrum of areas, often independently of each other. Many books already have been written addressing network data and network problems in speci c individual disciplines. However, there is at present no single book that provides a modern treatment of a core body of knowledge for statistical analysis of network data that cuts across the various disciplines and is organized rather according to a statistical taxonomy of tasks and techniques. This book seeks to ll that gap and, as such, it aims to contribute to a growing trend in recent years to facilitate the exchange of knowledge across the pre-existing boundaries between those disciplines that play a role in what is coming to be called ‘network science.

Network Models for Data Science

Network Models for Data Science PDF Author: Alan Julian Izenman
Publisher: Cambridge University Press
ISBN: 1108835767
Category : Mathematics
Languages : en
Pages : 501

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Book Description
This is the first book to describe modern methods for analyzing complex networks arising from a wide range of disciplines.

ggplot2

ggplot2 PDF Author: Hadley Wickham
Publisher: Springer Science & Business Media
ISBN: 0387981411
Category : Computers
Languages : en
Pages : 211

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Book Description
Provides both rich theory and powerful applications Figures are accompanied by code required to produce them Full color figures

Statistical Analysis of Network Data with R

Statistical Analysis of Network Data with R PDF Author: Eric D. Kolaczyk
Publisher: Springer
ISBN: 1493909835
Category : Computers
Languages : en
Pages : 214

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Book Description
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).

Networks, Crowds, and Markets

Networks, Crowds, and Markets PDF Author: David Easley
Publisher: Cambridge University Press
ISBN: 1139490303
Category : Computers
Languages : en
Pages : 745

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Book Description
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.

Networking For Dummies

Networking For Dummies PDF Author: Doug Lowe
Publisher: John Wiley & Sons
ISBN: 1119748682
Category : Computers
Languages : en
Pages : 480

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Book Description
Set up a secure network at home or the office Fully revised to cover Windows 10 and Windows Server 2019, this new edition of the trusted Networking For Dummies helps both beginning network administrators and home users to set up and maintain a network. Updated coverage of broadband and wireless technologies, as well as storage and back-up procedures, ensures that you’ll learn how to build a wired or wireless network, secure and optimize it, troubleshoot problems, and much more. From connecting to the Internet and setting up a wireless network to solving networking problems and backing up your data—this #1 bestselling guide covers it all. Build a wired or wireless network Secure and optimize your network Set up a server and manage Windows user accounts Use the cloud—safely Written by a seasoned technology author—and jam-packed with tons of helpful step-by-step instructions—this is the book network administrators and everyday computer users will turn to again and again.

The Oxford Handbook of Electoral Persuasion

The Oxford Handbook of Electoral Persuasion PDF Author: Elizabeth Suhay
Publisher: Oxford University Press
ISBN: 0190860820
Category : Political Science
Languages : en
Pages : 912

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Book Description
Elections are the means by which democratic nations determine their leaders, and communication in the context of elections has the potential to shape people's beliefs, attitudes, and actions. Thus, electoral persuasion is one of the most important political processes in any nation that regularly holds elections. Moreover, electoral persuasion encompasses not only what happens in an election but also what happens before and after, involving candidates, parties, interest groups, the media, and the voters themselves. This volume surveys the vast political science literature on this subject, emphasizing contemporary research and topics and encouraging cross-fertilization among research strands. A global roster of authors provides a broad examination of electoral persuasion, with international perspectives complementing deep coverage of U.S. politics. Major areas of coverage include: general models of political persuasion; persuasion by parties, candidates, and outside groups; media influence; interpersonal influence; electoral persuasion across contexts; and empirical methodologies for understanding electoral persuasion.

Computer Networks

Computer Networks PDF Author: Larry L. Peterson
Publisher: Elsevier
ISBN: 0123850606
Category : Computers
Languages : en
Pages : 921

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Book Description
Computer Networks: A Systems Approach, Fifth Edition, explores the key principles of computer networking, with examples drawn from the real world of network and protocol design. Using the Internet as the primary example, this best-selling and classic textbook explains various protocols and networking technologies. The systems-oriented approach encourages students to think about how individual network components fit into a larger, complex system of interactions. This book has a completely updated content with expanded coverage of the topics of utmost importance to networking professionals and students, including P2P, wireless, network security, and network applications such as e-mail and the Web, IP telephony and video streaming, and peer-to-peer file sharing. There is now increased focus on application layer issues where innovative and exciting research and design is currently the center of attention. Other topics include network design and architecture; the ways users can connect to a network; the concepts of switching, routing, and internetworking; end-to-end protocols; congestion control and resource allocation; and end-to-end data. Each chapter includes a problem statement, which introduces issues to be examined; shaded sidebars that elaborate on a topic or introduce a related advanced topic; What's Next? discussions that deal with emerging issues in research, the commercial world, or society; and exercises. This book is written for graduate or upper-division undergraduate classes in computer networking. It will also be useful for industry professionals retraining for network-related assignments, as well as for network practitioners seeking to understand the workings of network protocols and the big picture of networking. - Completely updated content with expanded coverage of the topics of utmost importance to networking professionals and students, including P2P, wireless, security, and applications - Increased focus on application layer issues where innovative and exciting research and design is currently the center of attention - Free downloadable network simulation software and lab experiments manual available

Disrupting Dark Networks

Disrupting Dark Networks PDF Author: Sean F. Everton
Publisher: Cambridge University Press
ISBN: 1107022592
Category : Computers
Languages : en
Pages : 489

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Book Description
Sean F. Everton focuses on how social network analysis can be used to craft strategies to track, destabilize, and disrupt covert, illegal networks. He illustrates these methods through worked examples from four different social network analysis software packages (UCINET, NetDraw, Pajek, and ORA), using standard network data sets as well as data from an actual terrorist network to serve as a running example throughout the book.