Network Analysis Series 1

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Fundamentals of Brain Network Analysis

Author : Alex Fornito
Publisher : Academic Press
ISBN 13 : 0124081185
Total Pages : 496 pages
Book Rating : 4.1/5 (24 download)

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Book Synopsis Fundamentals of Brain Network Analysis by : Alex Fornito

Download or read book Fundamentals of Brain Network Analysis written by Alex Fornito and published by Academic Press. This book was released on 2016-03-04 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. From the perspective of graph theory and network science, this book introduces, motivates and explains techniques for modeling brain networks as graphs of nodes connected by edges, and covers a diverse array of measures for quantifying their topological and spatial organization. It builds intuition for key concepts and methods by illustrating how they can be practically applied in diverse areas of neuroscience, ranging from the analysis of synaptic networks in the nematode worm to the characterization of large-scale human brain networks constructed with magnetic resonance imaging. This text is ideally suited to neuroscientists wanting to develop expertise in the rapidly developing field of neural connectomics, and to physical and computational scientists wanting to understand how these quantitative methods can be used to understand brain organization. - Winner of the 2017 PROSE Award in Biomedicine & Neuroscience and the 2017 British Medical Association (BMA) Award in Neurology - Extensively illustrated throughout by graphical representations of key mathematical concepts and their practical applications to analyses of nervous systems - Comprehensively covers graph theoretical analyses of structural and functional brain networks, from microscopic to macroscopic scales, using examples based on a wide variety of experimental methods in neuroscience - Designed to inform and empower scientists at all levels of experience, and from any specialist background, wanting to use modern methods of network science to understand the organization of the brain

Wireshark 101

Author : Laura Chappell
Publisher :
ISBN 13 : 9781893939752
Total Pages : 408 pages
Book Rating : 4.9/5 (397 download)

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Book Synopsis Wireshark 101 by : Laura Chappell

Download or read book Wireshark 101 written by Laura Chappell and published by . This book was released on 2017-03-14 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on over 20 years of analyzing networks and teaching key analysis skills, this Second Edition covers the key features and functions of Wireshark version 2. This book includes 46 Labs and end-of-chapter Challenges to help you master Wireshark for troubleshooting, security, optimization, application analysis, and more.

Social Network Analysis

Author : Mohammad Gouse Galety
Publisher : John Wiley & Sons
ISBN 13 : 1119836735
Total Pages : 260 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Social Network Analysis by : Mohammad Gouse Galety

Download or read book Social Network Analysis written by Mohammad Gouse Galety and published by John Wiley & Sons. This book was released on 2022-04-28 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: SOCIAL NETWORK ANALYSIS As social media dominates our lives in increasing intensity, the need for developers to understand the theory and applications is ongoing as well. This book serves that purpose. Social network analysis is the solicitation of network science on social networks, and social occurrences are denoted and premeditated by data on coinciding pairs as the entities of opinion. The book features: Social network analysis from a computational perspective using python to show the significance of fundamental facets of network theory and the various metrics used to measure the social network. An understanding of network analysis and motivations to model phenomena as networks. Real-world networks established with human-related data frequently display social properties, i.e., patterns in the graph from which human behavioral patterns can be analyzed and extracted. Exemplifies information cascades that spread through an underlying social network to achieve widespread adoption. Network analysis that offers an appreciation method to health systems and services to illustrate, diagnose, and analyze networks in health systems. The social web has developed a significant social and interactive data source that pays exceptional attention to social science and humanities research. The benefits of artificial intelligence enable social media platforms to meet an increasing number of users and yield the biggest marketplace, thus helping social networking analysis distribute better customer understanding and aiding marketers to target the right customers. Audience The book will interest computer scientists, AI researchers, IT and software engineers, mathematicians.

Network Analysis 3Rd Ed.

Author : Van Valkenburg
Publisher :
ISBN 13 : 9788120301566
Total Pages : 592 pages
Book Rating : 4.3/5 (15 download)

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Book Synopsis Network Analysis 3Rd Ed. by : Van Valkenburg

Download or read book Network Analysis 3Rd Ed. written by Van Valkenburg and published by . This book was released on 1974 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Network Analysis Literacy

Author : Katharina A. Zweig
Publisher : Springer Science & Business Media
ISBN 13 : 3709107415
Total Pages : 546 pages
Book Rating : 4.7/5 (91 download)

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Book Synopsis Network Analysis Literacy by : Katharina A. Zweig

Download or read book Network Analysis Literacy written by Katharina A. Zweig and published by Springer Science & Business Media. This book was released on 2016-10-26 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a perspective of network analysis as a tool to find and quantify significant structures in the interaction patterns between different types of entities. Moreover, network analysis provides the basic means to relate these structures to properties of the entities. It has proven itself to be useful for the analysis of biological and social networks, but also for networks describing complex systems in economy, psychology, geography, and various other fields. Today, network analysis packages in the open-source platform R and other open-source software projects enable scientists from all fields to quickly apply network analytic methods to their data sets. Altogether, these applications offer such a wealth of network analytic methods that it can be overwhelming for someone just entering this field. This book provides a road map through this jungle of network analytic methods, offers advice on how to pick the best method for a given network analytic project, and how to avoid common pitfalls. It introduces the methods which are most often used to analyze complex networks, e.g., different global network measures, types of random graph models, centrality indices, and networks motifs. In addition to introducing these methods, the central focus is on network analysis literacy – the competence to decide when to use which of these methods for which type of question. Furthermore, the book intends to increase the reader's competence to read original literature on network analysis by providing a glossary and intensive translation of formal notation and mathematical symbols in everyday speech. Different aspects of network analysis literacy – understanding formal definitions, programming tasks, or the analysis of structural measures and their interpretation – are deepened in various exercises with provided solutions. This text is an excellent, if not the best starting point for all scientists who want to harness the power of network analysis for their field of expertise.

Statistical Analysis of Network Data

Author : Eric D. Kolaczyk
Publisher : Springer Science & Business Media
ISBN 13 : 0387881468
Total Pages : 397 pages
Book Rating : 4.3/5 (878 download)

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Book Synopsis Statistical Analysis of Network Data by : Eric D. Kolaczyk

Download or read book Statistical Analysis of Network Data written by Eric D. Kolaczyk and published by Springer Science & Business Media. This book was released on 2009-04-20 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Analysis, Architecture, and Design

Author : James D. McCabe
Publisher : Elsevier
ISBN 13 : 008054875X
Total Pages : 495 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Network Analysis, Architecture, and Design by : James D. McCabe

Download or read book Network Analysis, Architecture, and Design written by James D. McCabe and published by Elsevier. This book was released on 2010-07-26 with total page 495 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traditionally, networking has had little or no basis in analysis or architectural development, with designers relying on technologies they are most familiar with or being influenced by vendors or consultants. However, the landscape of networking has changed so that network services have now become one of the most important factors to the success of many third generation networks. It has become an important feature of the designer's job to define the problems that exist in his network, choose and analyze several optimization parameters during the analysis process, and then prioritize and evaluate these parameters in the architecture and design of the system. Network Analysis, Architecture, and Design, Third Edition, uses a systems methodology approach to teaching these concepts, which views the network (and the environment it impacts) as part of the larger system, looking at interactions and dependencies between the network and its users, applications, and devices. This approach matches the new business climate where customers drive the development of new services and the book discusses how networks can be architected and designed to provide many different types of services to customers. With a number of examples, analogies, instructor tips, and exercises, this book works through the processes of analysis, architecture, and design step by step, giving designers a solid resource for making good design decisions. With examples, guidelines, and general principles McCabe illuminates how a network begins as a concept, is built with addressing protocol, routing, and management, and harmonizes with the interconnected technology around it. Other topics covered in the book are learning to recognize problems in initial design, analyzing optimization parameters, and then prioritizing these parameters and incorporating them into the architecture and design of the system. This is an essential book for any professional that will be designing or working with a network on a routine basis. - Substantially updated design content includes ad hoc networks, GMPLS, IPv6, and mobile networking - Written by an expert in the field that has designed several large-scale networks for government agencies, universities, and corporations - Incorporates real-life ideas and experiences of many expert designers along with case studies and end-of-chapter exercises

Network Analysis

Author : Ulrik Brandes
Publisher : Springer
ISBN 13 : 3540319557
Total Pages : 481 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Network Analysis by : Ulrik Brandes

Download or read book Network Analysis written by Ulrik Brandes and published by Springer. This book was released on 2005-02-02 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: ‘Network’ is a heavily overloaded term, so that ‘network analysis’ means different things to different people. Specific forms of network analysis are used in the study of diverse structures such as the Internet, interlocking directorates, transportation systems, epidemic spreading, metabolic pathways, the Web graph, electrical circuits, project plans, and so on. There is, however, a broad methodological foundation which is quickly becoming a prerequisite for researchers and practitioners working with network models. From a computer science perspective, network analysis is applied graph theory. 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. Its topics therefore range from vertex centrality to graph clustering and the evolution of scale-free networks. In 15 coherent chapters, this monograph-like tutorial book introduces and surveys the concepts and methods that drive network analysis, and is thus the first book to do so from a methodological perspective independent of specific application areas.

Network Analysis & Synthesis

Author : Uday A. Bakshi
Publisher : Technical Publications
ISBN 13 : 9333223517
Total Pages : 738 pages
Book Rating : 4.3/5 (332 download)

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Book Synopsis Network Analysis & Synthesis by : Uday A. Bakshi

Download or read book Network Analysis & Synthesis written by Uday A. Bakshi and published by Technical Publications. This book was released on 2020-11-01 with total page 738 pages. Available in PDF, EPUB and Kindle. Book excerpt: The importance of network analysis and synthesis is well known in the various engineering fields. The book provides comprehensive coverage of the signals and network analysis, network functions and two port networks, network synthesis and active filter design. The book is structured to cover the key aspects of the course Network Analysis & Synthesis. The book starts with explaining the various types of signals, basic concepts of network analysis and transient analysis using classical approach. The Laplace transform plays an important role in the network analysis. The chapter on Laplace transform includes properties of Laplace transform and its application in the network analysis. The book includes the discussion of network functions of one and two port networks. The book covers the various aspects of two port network parameters along with the conditions of symmetry and reciprocity. It also derives the interrelationships between the two port network parameters. The network synthesis starts with the realizability theory including Hurwitz polynomial, properties of positive real functions, Sturm's theorem and maximum modulus theorem. The book covers the various aspects of one port network synthesis explaining the network synthesis of LC, RC, RL and RLC networks using Foster and Cauer forms. Then it explains the elements of transfer function synthesis. Finally, the book illustrates the active filter design. Each chapter provides the detailed explanation of the topic, practical examples and variety of solved problems. The explanations are given using very simple and lucid language. All the chapters are arranged in a specific sequence which helps to build the understanding of the subject in a logical fashion. The book explains the philosophy of the subject which makes the understanding of the concepts very clear and makes the subject more interesting.

Egocentric Network Analysis

Author : Brea L. Perry
Publisher : Structural Analysis in the Soc
ISBN 13 : 110713143X
Total Pages : 371 pages
Book Rating : 4.1/5 (71 download)

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Book Synopsis Egocentric Network Analysis by : Brea L. Perry

Download or read book Egocentric Network Analysis written by Brea L. Perry and published by Structural Analysis in the Soc. This book was released on 2018-03-22 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: An in-depth, comprehensive and practical guide to egocentric network analysis, focusing on fundamental theoretical, research design, and analytic issues.

Network Analysis

Author : Uday A. Bakshi
Publisher : Technical Publications
ISBN 13 : 9333223630
Total Pages : 838 pages
Book Rating : 4.3/5 (332 download)

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Book Synopsis Network Analysis by : Uday A. Bakshi

Download or read book Network Analysis written by Uday A. Bakshi and published by Technical Publications. This book was released on 2020-12-01 with total page 838 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book covers all the aspects of Network Analysis for undergraduate course. The book provides comprehensive coverage of network analysis and simplification techniques, network theorems, graph theory, transient analysis, filters, attenuators, Laplace transform, network functions and two port network parameters with the help of large number of solved problems. The book starts with explaining the various network simplification techniques including mesh analysis, node analysis and source shifting. The basics of a.c. fundamentals are also explained in support. The book covers the various network theorems. Then the book explains the graph theory, its application in network analysis along with the concept of duality. The transient analysis of various networks is also explained in the book. The book incorporates the detailed discussion of resonant circuits. The book also explains the theory of four terminal networks, filters and attenuators. The Laplace transform plays an important role in the network analysis. The chapter on Laplace transform includes properties of Laplace transform and its application in the network analysis. The book includes the discussion of network functions of one and two port networks. The book covers the various aspects of two port network parameters along with the conditions of symmetry and reciprocity. It also derives the interrelationships between the two port network parameters. The book uses plain and lucid language to explain each topic. The book provides the logical method of explaining the various complicated topics and stepwise methods to make the understanding easy. The variety of solved examples is the feature of this book. The book explains the philosophy of the subject which makes the understanding of the subject very clear and makes the subject more interesting. The students have to omit nothing and possibly have to cover nothing more.

Fundamentals of Network Analysis and Synthesis

Author : Behrouz Peikari
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 518 pages
Book Rating : 4.:/5 (89 download)

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Book Synopsis Fundamentals of Network Analysis and Synthesis by : Behrouz Peikari

Download or read book Fundamentals of Network Analysis and Synthesis written by Behrouz Peikari and published by Prentice Hall. This book was released on 1974 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A User’s Guide to Network Analysis in R

Author : Douglas Luke
Publisher : Springer
ISBN 13 : 3319238833
Total Pages : 241 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis A User’s Guide to Network Analysis in R by : Douglas Luke

Download or read book A User’s Guide to Network Analysis in R written by Douglas Luke and published by Springer. This book was released on 2015-12-14 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Network Analysis and Synthesis

Author : Brian D. O. Anderson
Publisher : Courier Corporation
ISBN 13 : 0486152170
Total Pages : 559 pages
Book Rating : 4.4/5 (861 download)

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Book Synopsis Network Analysis and Synthesis by : Brian D. O. Anderson

Download or read book Network Analysis and Synthesis written by Brian D. O. Anderson and published by Courier Corporation. This book was released on 2013-01-30 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive look at linear network analysis and synthesis explores state-space synthesis as well as analysis, employing modern systems theory to unite classical concepts of network theory. 1973 edition.

Statistical Analysis of Network Data with R

Author : Eric D. Kolaczyk
Publisher : Springer
ISBN 13 : 1493909835
Total Pages : 214 pages
Book Rating : 4.4/5 (939 download)

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Book Synopsis Statistical Analysis of Network Data with R by : Eric D. Kolaczyk

Download or read book Statistical Analysis of Network Data with R written by Eric D. Kolaczyk and published by Springer. This book was released on 2014-05-22 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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).

Generalized Blockmodeling

Author : Patrick Doreian
Publisher : Cambridge University Press
ISBN 13 : 9780521840859
Total Pages : 410 pages
Book Rating : 4.8/5 (48 download)

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Book Synopsis Generalized Blockmodeling by : Patrick Doreian

Download or read book Generalized Blockmodeling written by Patrick Doreian and published by Cambridge University Press. This book was released on 2005 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an integrated treatment of generalized blockmodeling appropriate for the analysis network structures.

Exploratory Social Network Analysis with Pajek

Author : Wouter de Nooy
Publisher : Cambridge University Press
ISBN 13 : 9780521841733
Total Pages : 362 pages
Book Rating : 4.8/5 (417 download)

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Book Synopsis Exploratory Social Network Analysis with Pajek by : Wouter de Nooy

Download or read book Exploratory Social Network Analysis with Pajek written by Wouter de Nooy and published by Cambridge University Press. This book was released on 2005-01-10 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first textbook on social network analysis integrating theory, applications, and professional software for performing network analysis. The book introduces the main concepts and their applications in social research with exercises. An application section explaining how to perform the network analyses with Pajek software follows each theoretical section.