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Modern Network Analysis
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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 560 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.
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 238 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.
Book Synopsis Introduction to Modern Network Synthesis by : M.E. Van Valkenburg
Download or read book Introduction to Modern Network Synthesis written by M.E. Van Valkenburg and published by . This book was released on 1960 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Modern Network Analysis by : Wan-hui Kim
Download or read book Modern Network Analysis written by Wan-hui Kim and published by . This book was released on 1971 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Probabilistic Foundations of Statistical Network Analysis by : Harry Crane
Download or read book Probabilistic Foundations of Statistical Network Analysis written by Harry Crane and published by CRC Press. This book was released on 2018-04-17 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic Foundations of Statistical Network Analysis presents a fresh and insightful perspective on the fundamental tenets and major challenges of modern network analysis. Its lucid exposition provides necessary background for understanding the essential ideas behind exchangeable and dynamic network models, network sampling, and network statistics such as sparsity and power law, all of which play a central role in contemporary data science and machine learning applications. The book rewards readers with a clear and intuitive understanding of the subtle interplay between basic principles of statistical inference, empirical properties of network data, and technical concepts from probability theory. Its mathematically rigorous, yet non-technical, exposition makes the book accessible to professional data scientists, statisticians, and computer scientists as well as practitioners and researchers in substantive fields. Newcomers and non-quantitative researchers will find its conceptual approach invaluable for developing intuition about technical ideas from statistics and probability, while experts and graduate students will find the book a handy reference for a wide range of new topics, including edge exchangeability, relative exchangeability, graphon and graphex models, and graph-valued Levy process and rewiring models for dynamic networks. The author’s incisive commentary supplements these core concepts, challenging the reader to push beyond the current limitations of this emerging discipline. With an approachable exposition and more than 50 open research problems and exercises with solutions, this book is ideal for advanced undergraduate and graduate students interested in modern network analysis, data science, machine learning, and statistics. Harry Crane is Associate Professor and Co-Director of the Graduate Program in Statistics and Biostatistics and an Associate Member of the Graduate Faculty in Philosophy at Rutgers University. Professor Crane’s research interests cover a range of mathematical and applied topics in network science, probability theory, statistical inference, and mathematical logic. In addition to his technical work on edge and relational exchangeability, relative exchangeability, and graph-valued Markov processes, Prof. Crane’s methods have been applied to domain-specific cybersecurity and counterterrorism problems at the Foreign Policy Research Institute and RAND’s Project AIR FORCE.
Download or read book Electrical Networks written by John Choma and published by Wiley-Interscience. This book was released on 1985-03-21 with total page 808 pages. Available in PDF, EPUB and Kindle. Book excerpt: A detailed introduction to modern network theory. Includes computer models of semiconductor devices and circuits, and several computer modeling techniques. Brings together many useful techniques and basic concepts that have previously been scattered throughout other texts and professional journals. Establishes a strong analytical foundation for the analysis, design, and optimization of active and passive linear electrical networks, unifying classical theory and electronic circuit design. Features rigorous theoretical developments and design-oriented examples and exercises.
Book Synopsis Advances in Social Network Analysis by : Stanley Wasserman
Download or read book Advances in Social Network Analysis written by Stanley Wasserman and published by SAGE Publications. This book was released on 1994-07-27 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social network analysis, a method for analyzing relationships between social entities, has expanded over the last decade as new research has been done in this area. How can these new developments be applied effectively in the behavioral and social sciences disciplines? In Advances in Social Network Analysis, a team of leading methodologists in network analysis addresses this issue. They explore such topics as ways to specify the network contents to be studied, how to select the method for representing network structures, how social network analysis has been used to study interorganizational relations via the resource dependence model, how to use a contact matrix for studying the spread of disease in epidemiology, and how cohesion and structural equivalence network theories relate to studying social influence. It also offers statistical models for social support networks. Advances in Social Network Analysis is useful for researchers involved in general research methods and qualitative methods, and who are interested in psychology and sociology.
Book Synopsis Modern Network Analysis by : Fazlollah M. Reza
Download or read book Modern Network Analysis written by Fazlollah M. Reza and published by . This book was released on 1959 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Network Analysis and Synthesis by : Franklin F. Kuo
Download or read book Network Analysis and Synthesis written by Franklin F. Kuo and published by . This book was released on 1968 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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 494 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. 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
Book Synopsis Application of Modern Network Theory to Analysis of Complex Systems by : John C. Fakan
Download or read book Application of Modern Network Theory to Analysis of Complex Systems written by John C. Fakan and published by . This book was released on 1969 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
Book Synopsis Introduction to Modern Circuit Analysis by : Donald Albert Calahan
Download or read book Introduction to Modern Circuit Analysis written by Donald Albert Calahan and published by . This book was released on 1974 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis What is Social Network Analysis? by : John Scott
Download or read book What is Social Network Analysis? written by John Scott and published by A&C Black. This book was released on 2012-08-21 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: Part of the What is..? series, this book is an introductory guide providing explanations of the nature of social network methods.
Book Synopsis Network Analysis by : Mac Elwyn Van Valkenburg
Download or read book Network Analysis written by Mac Elwyn Van Valkenburg and published by . This book was released on 1964 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Complex Network Analysis in Python by : Dmitry Zinoviev
Download or read book Complex Network Analysis in Python written by Dmitry Zinoviev and published by Pragmatic Bookshelf. This book was released on 2018-01-19 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: Construct, analyze, and visualize networks with networkx, a Python language module. Network analysis is a powerful tool you can apply to a multitude of datasets and situations. Discover how to work with all kinds of networks, including social, product, temporal, spatial, and semantic networks. Convert almost any real-world data into a complex network--such as recommendations on co-using cosmetic products, muddy hedge fund connections, and online friendships. Analyze and visualize the network, and make business decisions based on your analysis. If you're a curious Python programmer, a data scientist, or a CNA specialist interested in mechanizing mundane tasks, you'll increase your productivity exponentially. Complex network analysis used to be done by hand or with non-programmable network analysis tools, but not anymore! You can now automate and program these tasks in Python. Complex networks are collections of connected items, words, concepts, or people. By exploring their structure and individual elements, we can learn about their meaning, evolution, and resilience. Starting with simple networks, convert real-life and synthetic network graphs into networkx data structures. Look at more sophisticated networks and learn more powerful machinery to handle centrality calculation, blockmodeling, and clique and community detection. Get familiar with presentation-quality network visualization tools, both programmable and interactive--such as Gephi, a CNA explorer. Adapt the patterns from the case studies to your problems. Explore big networks with NetworKit, a high-performance networkx substitute. Each part in the book gives you an overview of a class of networks, includes a practical study of networkx functions and techniques, and concludes with case studies from various fields, including social networking, anthropology, marketing, and sports analytics. Combine your CNA and Python programming skills to become a better network analyst, a more accomplished data scientist, and a more versatile programmer. What You Need: You will need a Python 3.x installation with the following additional modules: Pandas (>=0.18), NumPy (>=1.10), matplotlib (>=1.5), networkx (>=1.11), python-louvain (>=0.5), NetworKit (>=3.6), and generalizesimilarity. We recommend using the Anaconda distribution that comes with all these modules, except for python-louvain, NetworKit, and generalizedsimilarity, and works on all major modern operating systems.
Book Synopsis Social Network Analytics for Contemporary Business Organizations by : Bansal, Himani
Download or read book Social Network Analytics for Contemporary Business Organizations written by Bansal, Himani and published by IGI Global. This book was released on 2018-03-23 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social technology is quickly becoming a vital tool in our personal, educational, and professional lives. Its use must be further examined in order to determine the role of social media technology in organizational settings to promote business development and growth. Social Network Analytics for Contemporary Business Organizations is a critical scholarly resource that analyzes the application of social media in business applications. Featuring coverage on a broad range of topics, such as business management, dynamic networks, and online interaction, this book is geared towards professionals, researchers, academics, students, managers, and practitioners actively involved in the business industry.
