Advances In Network Clustering And Blockmodeling

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Advances in Network Clustering and Blockmodeling

Author : Patrick Doreian
Publisher : John Wiley & Sons
ISBN 13 : 1119224705
Total Pages : 425 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Advances in Network Clustering and Blockmodeling by : Patrick Doreian

Download or read book Advances in Network Clustering and Blockmodeling written by Patrick Doreian and published by John Wiley & Sons. This book was released on 2020-02-03 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an overview of the developments and advances in the field of network clustering and blockmodeling over the last 10 years This book offers an integrated treatment of network clustering and blockmodeling, covering all of the newest approaches and methods that have been developed over the last decade. Presented in a comprehensive manner, it offers the foundations for understanding network structures and processes, and features a wide variety of new techniques addressing issues that occur during the partitioning of networks across multiple disciplines such as community detection, blockmodeling of valued networks, role assignment, and stochastic blockmodeling. Written by a team of international experts in the field, Advances in Network Clustering and Blockmodeling offers a plethora of diverse perspectives covering topics such as: bibliometric analyses of the network clustering literature; clustering approaches to networks; label propagation for clustering; and treating missing network data before partitioning. It also examines the partitioning of signed networks, multimode networks, and linked networks. A chapter on structured networks and coarsegrained descriptions is presented, along with another on scientific coauthorship networks. The book finishes with a section covering conclusions and directions for future work. In addition, the editors provide numerous tables, figures, case studies, examples, datasets, and more. Offers a clear and insightful look at the state of the art in network clustering and blockmodeling Provides an excellent mix of mathematical rigor and practical application in a comprehensive manner Presents a suite of new methods, procedures, algorithms for partitioning networks, as well as new techniques for visualizing matrix arrays Features numerous examples throughout, enabling readers to gain a better understanding of research methods and to conduct their own research effectively Written by leading contributors in the field of spatial networks analysis Advances in Network Clustering and Blockmodeling is an ideal book for graduate and undergraduate students taking courses on network analysis or working with networks using real data. It will also benefit researchers and practitioners interested in network analysis.

Advances in Network Clustering and Blockmodeling

Author : Patrick Doreian
Publisher : John Wiley & Sons
ISBN 13 : 1119224675
Total Pages : 499 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Advances in Network Clustering and Blockmodeling by : Patrick Doreian

Download or read book Advances in Network Clustering and Blockmodeling written by Patrick Doreian and published by John Wiley & Sons. This book was released on 2019-12-16 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an overview of the developments and advances in the field of network clustering and blockmodeling over the last 10 years This book offers an integrated treatment of network clustering and blockmodeling, covering all of the newest approaches and methods that have been developed over the last decade. Presented in a comprehensive manner, it offers the foundations for understanding network structures and processes, and features a wide variety of new techniques addressing issues that occur during the partitioning of networks across multiple disciplines such as community detection, blockmodeling of valued networks, role assignment, and stochastic blockmodeling. Written by a team of international experts in the field, Advances in Network Clustering and Blockmodeling offers a plethora of diverse perspectives covering topics such as: bibliometric analyses of the network clustering literature; clustering approaches to networks; label propagation for clustering; and treating missing network data before partitioning. It also examines the partitioning of signed networks, multimode networks, and linked networks. A chapter on structured networks and coarsegrained descriptions is presented, along with another on scientific coauthorship networks. The book finishes with a section covering conclusions and directions for future work. In addition, the editors provide numerous tables, figures, case studies, examples, datasets, and more. Offers a clear and insightful look at the state of the art in network clustering and blockmodeling Provides an excellent mix of mathematical rigor and practical application in a comprehensive manner Presents a suite of new methods, procedures, algorithms for partitioning networks, as well as new techniques for visualizing matrix arrays Features numerous examples throughout, enabling readers to gain a better understanding of research methods and to conduct their own research effectively Written by leading contributors in the field of spatial networks analysis Advances in Network Clustering and Blockmodeling is an ideal book for graduate and undergraduate students taking courses on network analysis or working with networks using real data. It will also benefit researchers and practitioners interested in network analysis.

Community Detection and Stochastic Block Models

Author : Emmanuel Abbe
Publisher : Foundations and Trends (R) in Communications and Information Theory
ISBN 13 : 9781680834765
Total Pages : 172 pages
Book Rating : 4.8/5 (347 download)

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Book Synopsis Community Detection and Stochastic Block Models by : Emmanuel Abbe

Download or read book Community Detection and Stochastic Block Models written by Emmanuel Abbe and published by Foundations and Trends (R) in Communications and Information Theory. This book was released on 2018-06-04 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: This self-contained, compact monograph is an invaluable introduction to the field of Community Detection for researchers and students working in Machine Learning, Data Science and Information Theory.

A Survey of Statistical Network Models

Author : Anna Goldenberg
Publisher : Now Publishers Inc
ISBN 13 : 1601983204
Total Pages : 118 pages
Book Rating : 4.6/5 (19 download)

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Book Synopsis A Survey of Statistical Network Models by : Anna Goldenberg

Download or read book A Survey of Statistical Network Models written by Anna Goldenberg and published by Now Publishers Inc. This book was released on 2010 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: Networks are ubiquitous in science and have become a focal point for discussion in everyday life. Formal statistical models for the analysis of network data have emerged as a major topic of interest in diverse areas of study, and most of these involve a form of graphical representation. Probability models on graphs date back to 1959. Along with empirical studies in social psychology and sociology from the 1960s, these early works generated an active network community and a substantial literature in the 1970s. This effort moved into the statistical literature in the late 1970s and 1980s, and the past decade has seen a burgeoning network literature in statistical physics and computer science. The growth of the World Wide Web and the emergence of online networking communities such as Facebook, MySpace, and LinkedIn, and a host of more specialized professional network communities has intensified interest in the study of networks and network data. Our goal in this review is to provide the reader with an entry point to this burgeoning literature. We begin with an overview of the historical development of statistical network modeling and then we introduce a number of examples that have been studied in the network literature. Our subsequent discussion focuses on a number of prominent static and dynamic network models and their interconnections. We emphasize formal model descriptions, and pay special attention to the interpretation of parameters and their estimation. We end with a description of some open problems and challenges for machine learning and statistics.

Modularity and Dynamics on Complex Networks

Author : Renaud Lambiotte
Publisher : Cambridge University Press
ISBN 13 : 1108808654
Total Pages : 102 pages
Book Rating : 4.1/5 (88 download)

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Book Synopsis Modularity and Dynamics on Complex Networks by : Renaud Lambiotte

Download or read book Modularity and Dynamics on Complex Networks written by Renaud Lambiotte and published by Cambridge University Press. This book was released on 2022-02-03 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: Complex networks are typically not homogeneous, as they tend to display an array of structures at different scales. A feature that has attracted a lot of research is their modular organisation, i.e., networks may often be considered as being composed of certain building blocks, or modules. In this Element, the authors discuss a number of ways in which this idea of modularity can be conceptualised, focusing specifically on the interplay between modular network structure and dynamics taking place on a network. They discuss, in particular, how modular structure and symmetries may impact on network dynamics and, vice versa, how observations of such dynamics may be used to infer the modular structure. They also revisit several other notions of modularity that have been proposed for complex networks and show how these can be related to and interpreted from the point of view of dynamical processes on networks.

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.

Social Network Analysis in Telecommunications

Author : Carlos Andre Reis Pinheiro
Publisher : John Wiley & Sons
ISBN 13 : 1118010957
Total Pages : 256 pages
Book Rating : 4.1/5 (18 download)

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Book Synopsis Social Network Analysis in Telecommunications by : Carlos Andre Reis Pinheiro

Download or read book Social Network Analysis in Telecommunications written by Carlos Andre Reis Pinheiro and published by John Wiley & Sons. This book was released on 2011-05-09 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely look at effective use of social network analysis within the telecommunications industry to boost customer relationships The key to any successful company is the relationship that it builds with its customers. This book shows how social network analysis, analytics, and marketing knowledge can be combined to create a positive customer experience within the telecommunications industry. Reveals how telecommunications companies can effectively enhance their relationships with customers Provides the groundwork for defining social network analysis Defines the tools that can be used to address social network problems A must-read for any professionals eager to distinguish their products in the marketplace, this book shows you how to get it done right, with social network analysis.

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.

Complex Networks

Author : Vito Latora
Publisher : Cambridge University Press
ISBN 13 : 1108298680
Total Pages : 585 pages
Book Rating : 4.1/5 (82 download)

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Book Synopsis Complex Networks by : Vito Latora

Download or read book Complex Networks written by Vito Latora and published by Cambridge University Press. This book was released on 2017-09-28 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: Networks constitute the backbone of complex systems, from the human brain to computer communications, transport infrastructures to online social systems and metabolic reactions to financial markets. Characterising their structure improves our understanding of the physical, biological, economic and social phenomena that shape our world. Rigorous and thorough, this textbook presents a detailed overview of the new theory and methods of network science. Covering algorithms for graph exploration, node ranking and network generation, among others, the book allows students to experiment with network models and real-world data sets, providing them with a deep understanding of the basics of network theory and its practical applications. Systems of growing complexity are examined in detail, challenging students to increase their level of skill. An engaging presentation of the important principles of network science makes this the perfect reference for researchers and undergraduate and graduate students in physics, mathematics, engineering, biology, neuroscience and the social sciences.

Multilevel Network Analysis for the Social Sciences

Author : Emmanuel Lazega
Publisher : Springer
ISBN 13 : 3319245201
Total Pages : 373 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Multilevel Network Analysis for the Social Sciences by : Emmanuel Lazega

Download or read book Multilevel Network Analysis for the Social Sciences written by Emmanuel Lazega and published by Springer. This book was released on 2015-12-16 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides new insights into the functioning of organizational, managerial and market societies. Multilevel analysis and social network analysis are described and the authors show how they can be combined in developing the theory, methods and empirical applications of the social sciences. This book maps out the development of multilevel reasoning and shows how it can explain behavior, through two different ways of contextualizing it. First, by identifying levels of influence on behavior and different aggregations of actors and behavior, and complex interactions between context and behavior. Second, by identifying different levels as truly different systems of agency: such levels of agency can be examined separately and jointly since the link between them is affiliation of members of one level to collective actors at the superior level. It is by combining these approaches that this work offers new insights. New case studies and datasets that explore new avenues of theorizing and new applications of methodology are presented. This book will be useful as a reference work for all social scientists, economists and historians who use network analyses and multilevel statistical analyses. Philosophers interested in the philosophy of science or epistemology will also find this book valuable.

The SAGE Handbook of Social Network Analysis

Author : John Scott
Publisher : SAGE Publications
ISBN 13 : 1847873952
Total Pages : 641 pages
Book Rating : 4.8/5 (478 download)

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Book Synopsis The SAGE Handbook of Social Network Analysis by : John Scott

Download or read book The SAGE Handbook of Social Network Analysis written by John Scott and published by SAGE Publications. This book was released on 2011-05-25 with total page 641 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Among the specific areas covered are: Network theory Interdisciplinary applications Online networks Corporate networks Lobbying networks Deviant networks Measuring devices Key Methodologies Software applications. The result is a peerless resource for teachers and students which offers a critical survey of the origins, basic issues and major debates. The Handbook provides a one-stop guide that will be used by readers for decades to come.

Knowledge and Networks

Author : Johannes Glückler
Publisher : Springer
ISBN 13 : 3319450239
Total Pages : 386 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Knowledge and Networks by : Johannes Glückler

Download or read book Knowledge and Networks written by Johannes Glückler and published by Springer. This book was released on 2017-01-05 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses a core question in many fields of the social sciences, namely how to create, share and adopt new knowledge. It creates an original space for conversation between two lines of research that have developed largely in parallel for a long time: social network theory and the geography of knowledge. This book considers that relational thinking has become increasingly important for scholars to capture societal outcomes by studying social relations and networks, whereas the role of place, space and spatial scales has been somewhat neglected outside an emergent geography of knowledge. The individual contributions help integrate network arguments of connectivity, geographical arguments of contiguity and contextuality into a more comprehensive understanding of the ways in which people and organizations are constrained by and make use of space and networks for learning and innovation. Experts in the fields of geography, sociology, economics, political science, psychology, management and organizational studies develop conceptual models and propose empirical research that illustrates the ways in which networks and geography play together in processes of innovation, learning, leadership, and power. This book is open access under a CC BY 4.0 license.

The Oxford Handbook of Social Networks

Author : Ryan Light
Publisher : Oxford University Press
ISBN 13 : 0197520618
Total Pages : 697 pages
Book Rating : 4.1/5 (975 download)

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Book Synopsis The Oxford Handbook of Social Networks by : Ryan Light

Download or read book The Oxford Handbook of Social Networks written by Ryan Light and published by Oxford University Press. This book was released on 2020-11-20 with total page 697 pages. Available in PDF, EPUB and Kindle. Book excerpt: While some social scientists may argue that we have always been networked, the increased visibility of networks today across economic, political, and social domains can hardly be disputed. Social networks fundamentally shape our lives and social network analysis has become a vibrant, interdisciplinary field of research. In The Oxford Handbook of Social Networks, Ryan Light and James Moody have gathered forty leading scholars in sociology, archaeology, economics, statistics, and information science, among others, to provide an overview of the theory, methods, and contributions in the field of social networks. Each of the thirty-three chapters in this Handbook moves through the basics of social network analysis aimed at those seeking an introduction to advanced and novel approaches to modeling social networks statistically. They cover both a succinct background to, and future directions for, distinctive approaches to analyzing social networks. The first section of the volume consists of theoretical and methodological approaches to social networks, such as visualization and network analysis, statistical approaches to networks, and network dynamics. Chapters in the second section outline how network perspectives have contributed substantively across numerous fields, including public health, political analysis, and organizational studies. Despite the rapid spread of interest in social network analysis, few volumes capture the state-of-the-art theory, methods, and substantive contributions featured in this volume. This Handbook therefore offers a valuable resource for graduate students and faculty new to networks looking to learn new approaches, scholars interested in an overview of the field, and network analysts looking to expand their skills or substantive areas of research.

Algorithm Engineering

Author : Lasse Kliemann
Publisher : Springer
ISBN 13 : 3319494872
Total Pages : 428 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Algorithm Engineering by : Lasse Kliemann

Download or read book Algorithm Engineering written by Lasse Kliemann and published by Springer. This book was released on 2016-11-10 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithm Engineering is a methodology for algorithmic research that combines theory with implementation and experimentation in order to obtain better algorithms with high practical impact. Traditionally, the study of algorithms was dominated by mathematical (worst-case) analysis. In Algorithm Engineering, algorithms are also implemented and experiments conducted in a systematic way, sometimes resembling the experimentation processes known from fields such as biology, chemistry, or physics. This helps in counteracting an otherwise growing gap between theory and practice.

Understanding Social Networks

Author : Charles Kadushin
Publisher : Oxford University Press
ISBN 13 : 0195379462
Total Pages : 265 pages
Book Rating : 4.1/5 (953 download)

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Book Synopsis Understanding Social Networks by : Charles Kadushin

Download or read book Understanding Social Networks written by Charles Kadushin and published by Oxford University Press. This book was released on 2012-01-19 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding Social Networks explains the big ideas that underlie social networks, covering fundamental concepts then discussing networks and their core themes in increasing order of complexity.

Exponential Random Graph Models for Social Networks

Author : Dean Lusher
Publisher : Cambridge University Press
ISBN 13 : 0521193567
Total Pages : 361 pages
Book Rating : 4.5/5 (211 download)

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Book Synopsis Exponential Random Graph Models for Social Networks by : Dean Lusher

Download or read book Exponential Random Graph Models for Social Networks written by Dean Lusher and published by Cambridge University Press. This book was released on 2013 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an account of the theoretical and methodological underpinnings of exponential random graph models (ERGMs).

Spatial Econometrics using Microdata

Author : Jean Dubé
Publisher : John Wiley & Sons
ISBN 13 : 1848214685
Total Pages : 242 pages
Book Rating : 4.8/5 (482 download)

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Book Synopsis Spatial Econometrics using Microdata by : Jean Dubé

Download or read book Spatial Econometrics using Microdata written by Jean Dubé and published by John Wiley & Sons. This book was released on 2014-11-10 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to spatial analyses concerning disaggregated (or micro) spatial data. Particular emphasis is put on spatial data compilation and the structuring of the connections between the observations. Descriptive analysis methods of spatial data are presented in order to identify and measure the spatial, global and local dependency. The authors then focus on autoregressive spatial models, to control the problem of spatial dependency between the residues of a basic linear statistical model, thereby contravening one of the basic hypotheses of the ordinary least squares approach. This book is a popularized reference for students looking to work with spatialized data, but who do not have the advanced statistical theoretical basics.