Network Analysis

Author: Mac E. Van Valkenburg
Publisher: Prentice Hall College Div
ISBN: 0136110959
Size: 18.35 MB
Format: PDF, Kindle
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Network Analysis

A User S Guide To Network Analysis In R

Author: Douglas Luke
Publisher: Springer
ISBN: 3319238825
Size: 18.88 MB
Format: PDF, ePub
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Presenting a comprehensive resource for the mastery of network analysis in R, the goal of Network Analysis with R is to introduce modern network analysis techniques in R to social, physical, and health scientists. The mathematical foundations of network analysis are emphasized in an accessible way and readers are guided through the basic steps of network studies: network conceptualization, data collection and management, network description, visualization, and building and testing statistical models of networks. As with all of the books in the Use R! series, each chapter contains extensive R code and detailed visualizations of datasets. Appendices will describe the R network packages and the datasets used in the book. An R package developed specifically for the book, available to readers on GitHub, contains relevant code and real-world network datasets as well.

Statistical Analysis Of Network Data With R Use R

Author: Eric D. Kolaczyk
Publisher: Springer
ISBN: 1493909827
Size: 43.50 MB
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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).


Social Network Analysis Methods And Examples

Author: Song Yang
Publisher: SAGE Publications, Inc
ISBN: 1483325210
Size: 18.86 MB
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Social Network Analysis: Methods and Examples by Song Yang, Franziska B. Keller, and Lu Zheng prepares social science students to conduct their own social network analysis (SNA) by covering basic methodological tools along with illustrative examples from various fields. This innovative book takes a conceptual rather than a mathematical approach as it discusses the connection between what SNA methods have to offer and how those methods are used in research design, data collection, and analysis. Four substantive applications chapters provide examples from politics, work and organizations, mental and physical health, and crime and terrorism studies.

Social Network Analysis

Author: John Scott
Publisher: SAGE Publications Ltd
ISBN: 1473952123
Size: 68.93 MB
Format: PDF, Docs
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Incorporating the most important and cutting-edge developments in the field, this bestselling text introduces newcomers to the key theories and techniques of social network analysis and guides more experienced analysts in their own research.

New to This Edition:
  • A chapter on data collection, covering a crucial phase of the research process
  • Fully updated examples reiterate the continued importance of social network analysis in an increasingly interconnected world
  • Detailed ‘Further Reading’ sections help you explore the wider literature
  • Practical exercises including real-world examples of social networks enable you to apply your learning
Expanded and brought right up-to-date, this classic text remains the indispensable guide to social network analysis for students, lecturers and researchers throughout the social sciences.

Practical Packet Analysis 3e Using Wireshark To Solve Real World Network Problems

Author: Chris Sanders
Publisher: No Starch Press
ISBN: 1593278020
Size: 39.70 MB
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It’s easy to capture packets with Wireshark, the world’s most popular network sniffer, whether off the wire or from the air. But how do you use those packets to understand what’s happening on your network?

Updated to cover Wireshark 2.x, the third edition of Practical Packet Analysis will teach you to make sense of your packet captures so that you can better troubleshoot network problems. You’ll find added coverage of IPv6 and SMTP, a new chapter on the powerful command line packet analyzers tcpdump and TShark, and an appendix on how to read and reference packet values using a packet map.

Practical Packet Analysis will show you how to:
–Monitor your network in real time and tap live network communications
–Build customized capture and display filters
–Use packet analysis to troubleshoot and resolve common network problems, like loss of connectivity, DNS issues, and slow speeds
–Explore modern exploits and malware at the packet level
–Extract files sent across a network from packet captures
–Graph traffic patterns to visualize the data flowing across your network
–Use advanced Wireshark features to understand confusing captures
–Build statistics and reports to help you better explain technical network information to non-techies

No matter what your level of experience is, Practical Packet Analysis will show you how to use Wireshark to make sense of any network and get things done.

Statistical Analysis Of Network Data Methods And Models Springer Series In Statistics

Author: Eric D. Kolaczyk
Publisher: Springer
ISBN: 038788145X
Size: 26.96 MB
Format: PDF, Mobi
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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.

Networks An Introduction

Author: Mark Newman
Publisher: Oxford University Press
ISBN: 0199206651
Size: 69.60 MB
Format: PDF, Docs
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The scientific study of networks, including computer networks, social networks, and biological networks, has received an enormous amount of interest in the last few years. The rise of the Internet and the wide availability of inexpensive computers have made it possible to gather and analyze network data on a large scale, and the development of a variety of new theoretical tools has allowed us to extract new knowledge from many different kinds of networks.

The study of networks is broadly interdisciplinary and important developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social sciences. This book brings together for the first time the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong interconnections between work in different areas.

Subjects covered include the measurement and structure of networks in many branches of science, methods for analyzing network data, including methods developed in physics, statistics, and sociology, the fundamentals of graph theory, computer algorithms, and spectral methods, mathematical models of networks, including random graph models and generative models, and theories of dynamical processes taking place on networks.

To request a copy of the Solutions Manual, visit: http://global.oup.com/uk/academic/physics/admin/solutions

Network Analysis With Applications 4th Edition

Author: William D. Stanley
Publisher: Pearson
ISBN: 0130602469
Size: 68.98 MB
Format: PDF, Mobi
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This book presents general methods of circuit and network analysis by employing differential and integral calculus and transform methods with a strong emphasis on application. Chapter topics cover basic circuit laws; circuit analysis methods; capacitive and inductive transients and equivalent circuits; initial, final, and first-order circuits; LaPlace transforms; circuit analysis with LaPlace transforms; transfer functions; sinusoidal steady-state analysis; frequency response analysis and bode plots; waveform analysis; and Fourier analysis. For learners of advanced circuit analysis, network analysis, and linear systems.


Wireshark 101 Essential Skills For Network Analysis Second Edition Wireshark Solution Series

Author: Laura Chappell
Publisher: Laura Chappell University
ISBN: 1893939758
Size: 17.92 MB
Format: PDF, Docs
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Wireshark is the world's most popular network analyzer tool with over 1 million downloads per month. As the Founder of Wireshark University, Laura Chappell is undoubtedly one of the best Wireshark instructors around.

In this updated book, Laura offers step-by-step instructions on the key functions and features of Wireshark, including:

  • Filter on addresses, protocols, fields or traffic characteristics
  • Create custom columns for more efficient analysis
  • Find the source of delays with filters and coloring rules
  • Perform unattended captures with auto-stop conditions
  • Filter on keywords using wildcards and regular expressions
  • Graph and compare user, subnet and application traffic
  • Reassemble and extract a file from captured traffic
  • Identify DNS and HTTP errors fast
  • Export important packet details to .csv format
  • ...and more

This book includes 46 step-by-step Labs to quickly bring you up to speed with Wireshark version 2 regardless of whether you are a newbie or already working with Wireshark today!


Social Network Analysis

Author: Christina Prell
Publisher: SAGE
ISBN: 1412947146
Size: 77.19 MB
Format: PDF, ePub
View: 1401
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Appropriate for beginners and established researchers the book represents SNA in its entirety; as theory as well as method - and is carefully supported by up-to-date statistical models.

Network Analysis

Author: Ulrik Brandes
Publisher: Springer Science & Business Media
ISBN: 3540249796
Size: 38.70 MB
Format: PDF, Docs
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Unlike standard graph theory books, the content of this book is organized according to methods for specific levels of analysis (element, group, network) rather than abstract concepts like paths, matchings, or spanning subgraphs.

The Sage Handbook Of Social Network Analysis

Author: John Scott
Publisher: SAGE
ISBN: 1446250113
Size: 45.20 MB
Format: PDF, Kindle
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This sparkling Handbook offers an unrivalled resource for those engaged in the cutting edge field of social network analysis. Systematically, it introduces readers to the key concepts, substantive topics, central methods and prime debates.

Social Network Analysis

Author: John Scott
Publisher: SAGE
ISBN: 152641225X
Size: 58.81 MB
Format: PDF, ePub, Mobi
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With a new chapter on social media, new worked examples, and better addressing the needs of the newcomer (whilst still remaining authoritative), this Fourth Edition continues to be an invaluable resource in introducing readers to the ...

Models And Methods In Social Network Analysis

Author: Peter J. Carrington
Publisher: Cambridge University Press
ISBN: 9781139443432
Size: 63.21 MB
Format: PDF, ePub, Mobi
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Models and Methods in Social Network Analysis, first published in 2005, presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s.

Network Analysis In Archaeology

Author: Carl Knappett
Publisher: Oxford University Press
ISBN: 0199697094
Size: 34.98 MB
Format: PDF, ePub, Docs
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Outgrowth of a session organized for the 75th Anniversary Meeting of the Society for American Archaeology held in St. Louis, Mo., in 2010. Cf. acknowledgments.

Networks And Network Analysis For Defence And Security

Author: Anthony J. Masys
Publisher: Springer Science & Business Media
ISBN: 3319041479
Size: 37.93 MB
Format: PDF, ePub
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This book will be well positioned to inform defence, security and intelligence professionals and researchers with regards to leading methodologies and approaches.