Advances In Network Clustering And Blockmodeling

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Advances in Network Clustering and Blockmodeling

Author : Patrick Doreian,Vladimir Batagelj,Anuska Ferligoj
Publisher : John Wiley & Sons
Page : 425 pages
File Size : 52,5 Mb
Release : 2020-02-03
Category : Mathematics
ISBN : 9781119224709

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Advances in Network Clustering and Blockmodeling by Patrick Doreian,Vladimir Batagelj,Anuska Ferligoj Pdf

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.

Understanding Large Temporal Networks and Spatial Networks

Author : Vladimir Batagelj,Patrick Doreian,Anuska Ferligoj,Natasa Kejzar
Publisher : John Wiley & Sons
Page : 464 pages
File Size : 44,8 Mb
Release : 2014-11-03
Category : Mathematics
ISBN : 9780470714522

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Understanding Large Temporal Networks and Spatial Networks by Vladimir Batagelj,Patrick Doreian,Anuska Ferligoj,Natasa Kejzar Pdf

This book explores social mechanisms that drive network change and link them to computationally sound models of changing structure to detect patterns. This text identifies the social processes generating these networks and how networks have evolved. Reviews: "this book is easy to read and entertaining, and much can be learned from it. Even if you know just about everything about large-scale and temporal networks, the book is a worthwhile read; you will learn a lot about SNA literature, patents, the US Supreme Court, and European soccer." (Social Networks) "a clear and accessible textbook, balancing symbolic maths, code, and visual explanations. The authors’ enthusiasm for the subject matter makes it enjoyable to read" (JASSS)

Generalized Blockmodeling

Author : Patrick Doreian,Vladimir Batagelj,Anuska Ferligoj
Publisher : Cambridge University Press
Page : 410 pages
File Size : 44,5 Mb
Release : 2005
Category : Social Science
ISBN : 0521840856

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Generalized Blockmodeling by Patrick Doreian,Vladimir Batagelj,Anuska Ferligoj Pdf

This book provides an integrated treatment of generalized blockmodeling appropriate for the analysis network structures.

Social Network Analysis in Telecommunications

Author : Carlos Andre Reis Pinheiro
Publisher : John Wiley & Sons
Page : 256 pages
File Size : 42,9 Mb
Release : 2011-05-09
Category : Business & Economics
ISBN : 9781118010952

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Social Network Analysis in Telecommunications by Carlos Andre Reis Pinheiro Pdf

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.

Statistical Network Analysis: Models, Issues, and New Directions

Author : Edoardo M. Airoldi,David M. Blei,Stephen E. Fienberg,Anna Goldenberg,Eric P. Xing,Alice X. Zheng
Publisher : Springer
Page : 200 pages
File Size : 49,6 Mb
Release : 2008-04-12
Category : Computers
ISBN : 9783540731337

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Statistical Network Analysis: Models, Issues, and New Directions by Edoardo M. Airoldi,David M. Blei,Stephen E. Fienberg,Anna Goldenberg,Eric P. Xing,Alice X. Zheng Pdf

This book constitutes the thoroughly refereed post-proceedings of the International Workshop on Statistical Network Analysis: Models, Issues, and New Directions held in Pittsburgh, PA, USA in June 2006 as associated event of the 23rd International Conference on Machine Learning, ICML 2006. It covers probabilistic methods for network analysis, paying special attention to model design and computational issues of learning and inference.

Community Detection and Stochastic Block Models

Author : Emmanuel Abbe
Publisher : Foundations and Trends (R) in Communications and Information Theory
Page : 172 pages
File Size : 43,5 Mb
Release : 2018-06-04
Category : Electronic
ISBN : 1680834762

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Community Detection and Stochastic Block Models by Emmanuel Abbe Pdf

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.

The Sage Handbook of Social Network Analysis

Author : John McLevey,John Scott,Peter J. Carrington
Publisher : SAGE Publications Limited
Page : 951 pages
File Size : 53,8 Mb
Release : 2023-10-01
Category : Social Science
ISBN : 9781529614664

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The Sage Handbook of Social Network Analysis by John McLevey,John Scott,Peter J. Carrington Pdf

This new edition of The Sage Handbook of Social Network Analysis builds on the success of its predecessor, offering a comprehensive overview of social network analysis produced by leading international scholars in the field. Brand new chapters provide both significant updates to topics covered in the first edition, as well as discussing cutting edge topics that have developed since, including new chapters on: · General issues such as social categories and computational social science; · Applications in contexts such as environmental policy, gender, ethnicity, cognition and social media and digital networks; · Concepts and methods such as centrality, blockmodeling, multilevel network analysis, spatial analysis, data collection, and beyond. By providing authoritative accounts of the history, theories and methodology of various disciplines and topics, the second edition of The SAGE Handbook of Social Network Analysis is designed to provide a state-of-the-art presentation of classic and contemporary views, and to lay the foundations for the further development of the area. PART 1: GENERAL ISSUES PART 2: APPLICATIONS PART 3: CONCEPTS AND METHODS

A Survey of Statistical Network Models

Author : Anna Goldenberg,Alice X. Zheng,Stephen E. Fienberg,Edoardo M. Airoldi
Publisher : Now Publishers Inc
Page : 118 pages
File Size : 46,6 Mb
Release : 2010
Category : Computers
ISBN : 9781601983206

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A Survey of Statistical Network Models by Anna Goldenberg,Alice X. Zheng,Stephen E. Fienberg,Edoardo M. Airoldi Pdf

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.

Exploratory Social Network Analysis with Pajek

Author : Wouter de Nooy,Andrej Mrvar,Vladimir Batagelj
Publisher : Cambridge University Press
Page : 362 pages
File Size : 43,7 Mb
Release : 2005-01-10
Category : Mathematics
ISBN : 0521841739

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Exploratory Social Network Analysis with Pajek by Wouter de Nooy,Andrej Mrvar,Vladimir Batagelj Pdf

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.

Spatial Analysis Along Networks

Author : Atsuyuki Okabe,Kokichi Sugihara
Publisher : John Wiley & Sons
Page : 252 pages
File Size : 53,8 Mb
Release : 2012-07-02
Category : Mathematics
ISBN : 9781119967767

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Spatial Analysis Along Networks by Atsuyuki Okabe,Kokichi Sugihara Pdf

In the real world, there are numerous and various events that occur on and alongside networks, including the occurrence of traffic accidents on highways, the location of stores alongside roads, the incidence of crime on streets and the contamination along rivers. In order to carry out analyses of those events, the researcher needs to be familiar with a range of specific techniques. Spatial Analysis Along Networks provides a practical guide to the necessary statistical techniques and their computational implementation. Each chapter illustrates a specific technique, from Stochastic Point Processes on a Network and Network Voronoi Diagrams, to Network K-function and Point Density Estimation Methods, and the Network Huff Model. The authors also discuss and illustrate the undertaking of the statistical tests described in a Geographical Information System (GIS) environment as well as demonstrating the user-friendly free software package SANET. Spatial Analysis Along Networks: Presents a much-needed practical guide to statistical spatial analysis of events on and alongside a network, in a logical, user-friendly order. Introduces the preliminary methods involved, before detailing the advanced, computational methods, enabling the readers a complete understanding of the advanced topics. Dedicates a separate chapter to each of the major techniques involved. Demonstrates the practicalities of undertaking the tests described in the book, using a GIS. Is supported by a supplementary website, providing readers with a link to the free software package SANET, so they can execute the statistical methods described in the book. Students and researchers studying spatial statistics, spatial analysis, geography, GIS, OR, traffic accident analysis, criminology, retail marketing, facility management and ecology will benefit from this book.

Getting Started with SAS Enterprise Miner 13. 1

Author : SAS Institute
Publisher : Unknown
Page : 82 pages
File Size : 55,9 Mb
Release : 2013-12
Category : Mathematics
ISBN : 1612905528

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Getting Started with SAS Enterprise Miner 13. 1 by SAS Institute Pdf

Introduces the core functionality of SAS Enterprise Miner and shows how to perform basic data mining tasks. Provides step-by-step examples that create a complete process-flow diagram including graphic results. Introduces the core functionality of SAS Enterprise Miner and shows how to perform basic data mining tasks. Provides step-by-step examples that create a complete process-flow diagram including graphic results.

Multilayer Network Science

Author : Oriol Artime,Barbara Benigni,Giulia Bertagnolli,Valeria d'Andrea,Riccardo Gallotti,Arsham Ghavasieh,Sebastian Raimondo,Manlio De Domenico
Publisher : Cambridge University Press
Page : 138 pages
File Size : 50,9 Mb
Release : 2022-09-30
Category : Science
ISBN : 9781009092821

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Multilayer Network Science by Oriol Artime,Barbara Benigni,Giulia Bertagnolli,Valeria d'Andrea,Riccardo Gallotti,Arsham Ghavasieh,Sebastian Raimondo,Manlio De Domenico Pdf

Networks are convenient mathematical models to represent the structure of complex systems, from cells to societies. In the last decade, multilayer network science – the branch of the field dealing with units interacting in multiple distinct ways, simultaneously – was demonstrated to be an effective modeling and analytical framework for a wide spectrum of empirical systems, from biopolymers networks (such as interactome and metabolomes) to neuronal networks (such as connectomes), from social networks to urban and transportation networks. In this Element, a decade after one of the most seminal papers on this topic, the authors review the most salient features of multilayer network science, covering both theoretical aspects and direct applications to real-world coupled/interdependent systems, from the point of view of multilayer structure, dynamics and function. The authors discuss potential frontiers for this topic and the corresponding challenges in the field for the next future.

Recent Advances in Linear Models and Related Areas

Author : Shalabh,Christian Heumann
Publisher : Springer Science & Business Media
Page : 448 pages
File Size : 43,9 Mb
Release : 2008-07-11
Category : Mathematics
ISBN : 9783790820645

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Recent Advances in Linear Models and Related Areas by Shalabh,Christian Heumann Pdf

This collection contains invited papers by distinguished statisticians to honour and acknowledge the contributions of Professor Dr. Dr. Helge Toutenburg to Statistics on the occasion of his sixty-?fth birthday. These papers present the most recent developments in the area of the linear model and its related topics. Helge Toutenburg is an established statistician and currently a Professor in the Department of Statistics at the University of Munich (Germany) and Guest Professor at the University of Basel (Switzerland). He studied Mathematics in his early years at Berlin and specialized in Statistics. Later he completed his dissertation (Dr. rer. nat. ) in 1969 on optimal prediction procedures at the University of Berlin and completed the post-doctoral thesis in 1989 at the University of Dortmund on the topic of mean squared error superiority. He taught at the Universities of Berlin, Dortmund and Regensburg before joining the University of Munich in 1991. He has various areas of interest in which he has authored and co-authored over 130 research articles and 17 books. He has made pioneering contributions in several areas of statistics, including linear inference, linear models, regression analysis, quality engineering, Taguchi methods, analysis of variance, design of experiments, and statistics in medicine and dentistry.

Multilevel Network Analysis for the Social Sciences

Author : Emmanuel Lazega,Tom A.B. Snijders
Publisher : Springer
Page : 375 pages
File Size : 42,5 Mb
Release : 2015-12-16
Category : Social Science
ISBN : 9783319245201

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Multilevel Network Analysis for the Social Sciences by Emmanuel Lazega,Tom A.B. Snijders Pdf

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. ​

Knowledge and Networks

Author : Johannes Glückler,Emmanuel Lazega,Ingmar Hammer
Publisher : Springer
Page : 386 pages
File Size : 54,5 Mb
Release : 2017-01-05
Category : Social Science
ISBN : 9783319450230

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Knowledge and Networks by Johannes Glückler,Emmanuel Lazega,Ingmar Hammer Pdf

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.