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Generalized Blockmodeling


Generalized Blockmodeling
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Generalized Blockmodeling


Generalized Blockmodeling
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Author : Patrick Doreian
language : en
Publisher: Cambridge University Press
Release Date : 2005

Generalized Blockmodeling written by Patrick Doreian and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Social Science categories.


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



Generalized Blockmodeling


Generalized Blockmodeling
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Author : Patrick Doreian
language : en
Publisher:
Release Date : 2014-05-14

Generalized Blockmodeling written by Patrick Doreian and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-14 with Social networks categories.


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



Extended Generalized Blockmodeling


Extended Generalized Blockmodeling
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Author : Micheli Knechtel lessa
language : en
Publisher:
Release Date : 2021

Extended Generalized Blockmodeling written by Micheli Knechtel lessa and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.


Blockmodeling is a set of techniques initially designed to analyse social networks but whose practical interest becomes larger, as we will see further in this thesis for terminology graphs. One of the goals of blockmodeling is to reduce a large, potentially incoherent network to a smaller comprehensible structure that can be interpreted more readily. There is great interest in capturing the cluster structure of a network in terms of equivalences, blocks and partitions. Up to now, most blockmodeling methods are focused in fitting the network structure to only one type of structure pattern. However, there are a variety of social networking applications in which it is interesting to consider more than one type of pattern simultaneously, so that the structure of the network can take the form of several indicators for underlying relationships. The research question is, how to deal with the situations where an analyst has several relations types of relations for a set of actors. Thus, we propose an optimization model, which we call the extended generalized blockmodeling. The main objective of extended generalized blockmodeling is to find the partition size and the set of patterns that has the best representation of the network structure. The extended generalized blockmodeling expands the possibilities of the framework, making it possible to analyze networks without any prior knowledge about them. The extended generalized block modeling belongs to the class of highly combinatorial problems, the exact method is only suitable for small networks, so the second question is how to make this approach viable for medium and large networks. Therefore, we propose the first non-exact approach to generalized extended block modeling, based on the VNS algorithm as an alternative for medium-sized networks. Even though the results found by the heuristic may not be the best of all the solutions to the problem, the experiments show that it converges to a satisfactory result in a not prohibitively long time. The third question, which we address in this thesis, is the extended generalized blockmodeling a suitable approach in the field of bibliometrics and Natural Language processing. To do so, we analyse the network of terms concerning terrorism research. For all these questions, we demonstrate the numerical results, based on artificial and real datasets benchmarks. These results allow the exploration of the application opportunities of the extended generalized block modeling as well as it's limitations.



Generalized Blockmodeling Of Valued Networks


Generalized Blockmodeling Of Valued Networks
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Author : Aleš Žiberna
language : en
Publisher:
Release Date : 2007

Generalized Blockmodeling Of Valued Networks written by Aleš Žiberna and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.




Advances In Network Clustering And Blockmodeling


Advances In Network Clustering And Blockmodeling
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Author : Patrick Doreian
language : en
Publisher: John Wiley & Sons
Release Date : 2020-02-03

Advances In Network Clustering And Blockmodeling written by Patrick Doreian and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-03 with Mathematics categories.


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.



Data Science And Classification


Data Science And Classification
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Author : Vladimir Batagelj
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-09-05

Data Science And Classification written by Vladimir Batagelj and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-09-05 with Language Arts & Disciplines categories.


Data Science and Classification provides new methodological developments in data analysis and classification. The broad and comprehensive coverage includes the measurement of similarity and dissimilarity, methods for classification and clustering, network and graph analyses, analysis of symbolic data, and web mining. Beyond structural and theoretical results, the book offers application advice for a variety of problems, in medicine, microarray analysis, social network structures, and music.



Models And Methods In Social Network Analysis


Models And Methods In Social Network Analysis
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Author : Peter J. Carrington
language : en
Publisher: Cambridge University Press
Release Date : 2005-02-07

Models And Methods In Social Network Analysis written by Peter J. Carrington and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-02-07 with Social Science categories.


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. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of articles by leading methodologists reviewing advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, the analysis of diffusion through networks, the analysis of affiliation or 'two-mode' networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for the analysis of social networks.



Studies In Theoretical And Applied Statistics


Studies In Theoretical And Applied Statistics
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Author : Cira Perna
language : en
Publisher: Springer
Release Date : 2018-04-03

Studies In Theoretical And Applied Statistics written by Cira Perna and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-03 with Mathematics categories.


This book includes a wide selection of the papers presented at the 48th Scientific Meeting of the Italian Statistical Society (SIS2016), held in Salerno on 8-10 June 2016. Covering a wide variety of topics ranging from modern data sources and survey design issues to measuring sustainable development, it provides a comprehensive overview of the current Italian scientific research in the fields of open data and big data in public administration and official statistics, survey sampling, ordinal and symbolic data, statistical models and methods for network data, time series forecasting, spatial analysis, environmental statistics, economic and financial data analysis, statistics in the education system, and sustainable development. Intended for researchers interested in theoretical and empirical issues, this volume provides interesting starting points for further research.



The Sage Handbook Of Social Network Analysis


The Sage Handbook Of Social Network Analysis
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Author : John Scott
language : en
Publisher: SAGE
Release Date : 2011-05-18

The Sage Handbook Of Social Network Analysis written by John Scott and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-18 with Social Science categories.


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.



Encyclopedia Of Social Networks


Encyclopedia Of Social Networks
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Author : George A. Barnett
language : en
Publisher: SAGE Publications
Release Date : 2011-09-07

Encyclopedia Of Social Networks written by George A. Barnett and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-07 with Social Science categories.


Request a FREE 30-day online trial to this title at www.sagepub.com/freetrial This two-volume encyclopedia provides a thorough introduction to the wide-ranging, fast-developing field of social networking, a much-needed resource at a time when new social networks or "communities" seem to spring up on the internet every day. Social networks, or groupings of individuals tied by one or more specific types of interests or interdependencies ranging from likes and dislikes, or disease transmission to the "old boy" network or overlapping circles of friends, have been in existence for longer than services such as Facebook or YouTube; analysis of these networks emphasizes the relationships within the network . This reference resource offers comprehensive coverage of the theory and research within the social sciences that has sprung from the analysis of such groupings, with accompanying definitions, measures, and research. Featuring approximately 350 signed entries, along with approximately 40 media clips, organized alphabetically and offering cross-references and suggestions for further readings, this encyclopedia opens with a thematic Reader's Guide in the front that groups related entries by topics. A Chronology offers the reader historical perspective on the study of social networks. This two-volume reference work is a must-have resource for libraries serving researchers interested in the various fields related to social networks.