Advanced Network Analysis Techniques


Advanced Network Analysis Techniques
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Advanced Network Analysis Techniques


Advanced Network Analysis Techniques
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Author : Laura Chappell
language : en
Publisher:
Release Date : 2000

Advanced Network Analysis Techniques written by Laura Chappell and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Computer networks categories.




Advanced Methods For Complex Network Analysis


Advanced Methods For Complex Network Analysis
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Author : Meghanathan, Natarajan
language : en
Publisher: IGI Global
Release Date : 2016-04-07

Advanced Methods For Complex Network Analysis written by Meghanathan, Natarajan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-07 with Computers categories.


As network science and technology continues to gain popularity, it becomes imperative to develop procedures to examine emergent network domains, as well as classical networks, to help ensure their overall optimization. Advanced Methods for Complex Network Analysis features the latest research on the algorithms and analysis measures being employed in the field of network science. Highlighting the application of graph models, advanced computation, and analytical procedures, this publication is a pivotal resource for students, faculty, industry practitioners, and business professionals interested in theoretical concepts and current developments in network domains.



Network Analysis Techniques


Network Analysis Techniques
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Author : S. K. Bhatnagar
language : en
Publisher: Prentice Hall
Release Date : 1986

Network Analysis Techniques written by S. K. Bhatnagar and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Business & Economics categories.


This book deals with various techniques that use basic concepts of preparation and analysis of networks for planning, scheduling and control of Projects.



From Experimental Network To Meta Analysis


From Experimental Network To Meta Analysis
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Author : David Makowski
language : en
Publisher: Springer
Release Date : 2019-05-07

From Experimental Network To Meta Analysis written by David Makowski and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-07 with Technology & Engineering categories.


This book has been designed as a methodological guide and shows the interests and limitations of different statistical methods to analyze data from experimental networks and to perform meta-analyses. It is intended for engineers, students and researchers involved in data analysis in agronomy and environmental science.



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.



Challenges In Social Network Research


Challenges In Social Network Research
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Author : Giancarlo Ragozini
language : en
Publisher: Springer Nature
Release Date : 2019-12-06

Challenges In Social Network Research written by Giancarlo Ragozini and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-06 with Computers categories.


The book includes both invited and contributed chapters dealing with advanced methods and theoretical development for the analysis of social networks and applications in numerous disciplines. Some authors explore new trends related to network measures, multilevel networks and clustering on networks, while other contributions deepen the relationship among statistical methods for data mining and social network analysis. Along with the new methodological developments, the book offers interesting applications to a wide set of fields, ranging from the organizational and economic studies, collaboration and innovation, to the less usual field of poetry. In addition, the case studies are related to local context, showing how the substantive reasoning is fundamental in social network analysis. The list of authors includes both top scholars in the field of social networks and promising young researchers. All chapters passed a double blind review process followed by the guest editors. This edited volume will appeal to students, researchers and professionals.



Social Network Analysis


Social Network Analysis
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Author : Stanley Wasserman
language : en
Publisher: Cambridge University Press
Release Date : 1994-11-25

Social Network Analysis written by Stanley Wasserman 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 1994-11-25 with Social Science categories.


Social network analysis is used widely in the social and behavioral sciences, as well as in economics, marketing, and industrial engineering. The social network perspective focuses on relationships among social entities and is an important addition to standard social and behavioral research, which is primarily concerned with attributes of the social units. Social Network Analysis: Methods and Applications reviews and discusses methods for the analysis of social networks with a focus on applications of these methods to many substantive examples. It is a reference book that can be used by those who want a comprehensive review of network methods, or by researchers who have gathered network data and want to find the most appropriate method by which to analyze it. It is also intended for use as a textbook as it is the first book to provide comprehensive coverage of the methodology and applications of the field.



The Influence Of Technology On Social Network Analysis And Mining


The Influence Of Technology On Social Network Analysis And Mining
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Author : Tansel Özyer
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-15

The Influence Of Technology On Social Network Analysis And Mining written by Tansel Özyer 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 2013-03-15 with Computers categories.


The study of social networks was originated in social and business communities. In recent years, social network research has advanced significantly; the development of sophisticated techniques for Social Network Analysis and Mining (SNAM) has been highly influenced by the online social Web sites, email logs, phone logs and instant messaging systems, which are widely analyzed using graph theory and machine learning techniques. People perceive the Web increasingly as a social medium that fosters interaction among people, sharing of experiences and knowledge, group activities, community formation and evolution. This has led to a rising prominence of SNAM in academia, politics, homeland security and business. This follows the pattern of known entities of our society that have evolved into networks in which actors are increasingly dependent on their structural embedding General areas of interest to the book include information science and mathematics, communication studies, business and organizational studies, sociology, psychology, anthropology, applied linguistics, biology and medicine.



Advanced Applications Of Network Analysis In Marketing Science


Advanced Applications Of Network Analysis In Marketing Science
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Author : Chinmay Kakatkar
language : en
Publisher: BoD – Books on Demand
Release Date : 2018-02-09

Advanced Applications Of Network Analysis In Marketing Science written by Chinmay Kakatkar and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-09 with Business & Economics categories.


The world today is becoming a highly connected place. Firms, consumers and the devices they use are increasingly part of a complex, global network of connected entities. These networks represent a gold mine for marketing scholars that may be interested in developing a better understanding of consumer behavior, and for practitioners who are keen to discover new ways of gaining and retaining customers. This cumulative dissertation focuses on the use of network analysis to generate and analyze novel data in marketing. The work moves beyond the scope of traditional social network analysis to consider networks composed of different types of nodes at varying levels of granularity. The key aim is to demonstrate that network analysis can be used to investigate novel explanatory and outcome variables that hold contextual meaning and can deepen our understanding of the research question at hand. Essay 1 develops a predictive method based on product networks to identify customer projects in a retail setting. Essays 2 and 3 show the value of network analysis in new product development by recasting product ideas as networks of their constituent features. Essay 4 leverages network thinking to enable novel analyses of the fragmented and anonymized event data that will be generated in abundance by the Internet of Things. Ultimately, the essays showcase a selection of advanced applications of network analysis in marketing science that are arguably of value to scholars as well as practitioners, and likely to gain in relevance in the future.



Next Generation And Advanced Network Reliability Analysis


Next Generation And Advanced Network Reliability Analysis
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Author : Syed Riffat Ali
language : en
Publisher: Springer
Release Date : 2018-11-19

Next Generation And Advanced Network Reliability Analysis written by Syed Riffat Ali and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-19 with Technology & Engineering categories.


This book covers reliability assessment and prediction of new technologies such as next generation networks that use cloud computing, Network Function Virtualization (NVF), Software Defined Network (SDN), Next Generation Transport, Evolving Wireless Systems, Digital VoIP Telephony, and Reliability Testing techniques specific to Next Generation Networks (NGN). This book introduces the technology to the reader first, followed by advanced reliability techniques applicable to both hardware and software reliability analysis. The book covers methodologies that can predict reliability using component failure rates to system level downtimes. The book’s goal is to familiarize the reader with analytical techniques, tools and methods necessary for analyzing very complex networks using very different technologies. The book lets readers quickly learn technologies behind currently evolving NGN and apply advanced Markov modeling and Software Reliability Engineering (SRE) techniques for assessing their operational reliability. Covers reliability analysis of advanced networks and provides basic mathematical tools and analysis techniques and methodology for reliability and quality assessment; Develops Markov and Software Engineering Models to predict reliability; Covers both hardware and software reliability for next generation technologies.