Centrality Metrics for Complex Network Analysis: Emerging Research and Opportunities

Centrality Metrics for Complex Network Analysis: Emerging Research and Opportunities

Author: Meghanathan, Natarajan

Publisher: IGI Global

Published: 2018-04-05

Total Pages: 183

ISBN-13: 1522538038

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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. Centrality Metrics for Complex Network Analysis: Emerging Research and Opportunities is a pivotal reference source for the latest research findings on centrality metrics and their broader applications for different categories of networks including wireless sensor networks, curriculum networks, social networks etc. Featuring extensive coverage on relevant areas, such as complex network graphs, node centrality metrics, and mobile sensor networks, this publication is an ideal resource for students, faculty, industry practitioners, and business professionals interested in theoretical concepts and current developments in network domains.


Book Synopsis Centrality Metrics for Complex Network Analysis: Emerging Research and Opportunities by : Meghanathan, Natarajan

Download or read book Centrality Metrics for Complex Network Analysis: Emerging Research and Opportunities written by Meghanathan, Natarajan and published by IGI Global. This book was released on 2018-04-05 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Centrality Metrics for Complex Network Analysis: Emerging Research and Opportunities is a pivotal reference source for the latest research findings on centrality metrics and their broader applications for different categories of networks including wireless sensor networks, curriculum networks, social networks etc. Featuring extensive coverage on relevant areas, such as complex network graphs, node centrality metrics, and mobile sensor networks, this publication is an ideal resource for students, faculty, industry practitioners, and business professionals interested in theoretical concepts and current developments in network domains.

New Centrality Measures in Networks

New Centrality Measures in Networks

Author: Fuad Aleskerov

Publisher: CRC Press

Published: 2021-12-07

Total Pages: 114

ISBN-13: 1000536106

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Over the last number of years there has been a growing interest in the analysis of complex networks which describe a wide range of real-world systems in nature and society. Identification of the central elements in such networks is one of the key research areas. Solutions to this problem are important for making strategic decisions and studying the behavior of dynamic processes, e.g. epidemic spread. The importance of nodes has been studied using various centrality measures. Generally, it should be considered that most real systems are not homogeneous: nodes may have individual attributes and influence each other in groups while connections between nodes may describe different types of relations. Thus, critical nodes detection is not a straightforward process. New Centrality Measures in Networks presents a class of new centrality measures which take into account individual attributes of nodes, the possibility of group influence and long-range interactions and discusses all their new features. The book provides a wide range of applications of network analysis in several fields – financial networks, international migration, global trade, global food network, arms transfers, networks of terrorist groups, and networks of international journals in economics. Real-world studies of networks indicate that the proposed centrality measures can identify important nodes in different applications. Starting from the basic ideas, the development of the indices and their advantages compared to existing centrality measures are presented. Features Built around real-world case studies in a variety of different areas (finance, migration, trade, etc.) Suitable for students and professional researchers with an interest in complex network analysis Paired with a software package for readers who wish to apply the proposed models of centrality (in Python) available at https://github.com/SergSHV/slric.


Book Synopsis New Centrality Measures in Networks by : Fuad Aleskerov

Download or read book New Centrality Measures in Networks written by Fuad Aleskerov and published by CRC Press. This book was released on 2021-12-07 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last number of years there has been a growing interest in the analysis of complex networks which describe a wide range of real-world systems in nature and society. Identification of the central elements in such networks is one of the key research areas. Solutions to this problem are important for making strategic decisions and studying the behavior of dynamic processes, e.g. epidemic spread. The importance of nodes has been studied using various centrality measures. Generally, it should be considered that most real systems are not homogeneous: nodes may have individual attributes and influence each other in groups while connections between nodes may describe different types of relations. Thus, critical nodes detection is not a straightforward process. New Centrality Measures in Networks presents a class of new centrality measures which take into account individual attributes of nodes, the possibility of group influence and long-range interactions and discusses all their new features. The book provides a wide range of applications of network analysis in several fields – financial networks, international migration, global trade, global food network, arms transfers, networks of terrorist groups, and networks of international journals in economics. Real-world studies of networks indicate that the proposed centrality measures can identify important nodes in different applications. Starting from the basic ideas, the development of the indices and their advantages compared to existing centrality measures are presented. Features Built around real-world case studies in a variety of different areas (finance, migration, trade, etc.) Suitable for students and professional researchers with an interest in complex network analysis Paired with a software package for readers who wish to apply the proposed models of centrality (in Python) available at https://github.com/SergSHV/slric.

Spatial Networking in the United Physical, Virtual, and Mental World

Spatial Networking in the United Physical, Virtual, and Mental World

Author: Peter S. Sapaty

Publisher: Springer Nature

Published:

Total Pages: 233

ISBN-13: 3031621549

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Book Synopsis Spatial Networking in the United Physical, Virtual, and Mental World by : Peter S. Sapaty

Download or read book Spatial Networking in the United Physical, Virtual, and Mental World written by Peter S. Sapaty and published by Springer Nature. This book was released on with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt:

New Centrality Measures in Networks

New Centrality Measures in Networks

Author: Faud Tagi ogly Aleskerov

Publisher:

Published: 2021-12

Total Pages:

ISBN-13: 9781032066974

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"Over the last number of years there has been a growing interest in the analysis of complex networks which describe a wide range of real-world systems in nature and society. Identification of the central elements in such networks is one of the key research areas. Solutions to this problem are important for making strategic decisions and studying the behavior of dynamic processes, e.g. epidemic spread. The importance of nodes has been studied using various centrality measures. Generally, it should be considered that most real systems are not homogeneous: nodes may have individual attributes and influence each other in groups while connections between nodes may describe different types of relations. Thus, critical nodes detection is not a straightforward process. New Centrality Measures in Networks presents a class of new centrality measures which take into account individual attributes of nodes, the possibility of group influence and long-range interactions and discusses all their new features. The book provides a wide range of applications of network analysis in several fields - financial networks, international migration, global trade, global food network, arms transfers, networks of terrorist groups, networks of international journals in economics. Real-world studies of networks indicate that the proposed centrality measures can identify important nodes in different applications. Starting from the basic ideas, the development of the indices and their advantages compared to existing centrality measures are presented. Features Built around real-world case studies in a variety of different areas (finance, migration, trade, etc.) Suitable for students and professional researchers with an interest in complex network analysis Paired with a software package for readers who wish to apply the proposed models of centrality (in Python) available at https: //github.com/SergSHV/slric"--


Book Synopsis New Centrality Measures in Networks by : Faud Tagi ogly Aleskerov

Download or read book New Centrality Measures in Networks written by Faud Tagi ogly Aleskerov and published by . This book was released on 2021-12 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "Over the last number of years there has been a growing interest in the analysis of complex networks which describe a wide range of real-world systems in nature and society. Identification of the central elements in such networks is one of the key research areas. Solutions to this problem are important for making strategic decisions and studying the behavior of dynamic processes, e.g. epidemic spread. The importance of nodes has been studied using various centrality measures. Generally, it should be considered that most real systems are not homogeneous: nodes may have individual attributes and influence each other in groups while connections between nodes may describe different types of relations. Thus, critical nodes detection is not a straightforward process. New Centrality Measures in Networks presents a class of new centrality measures which take into account individual attributes of nodes, the possibility of group influence and long-range interactions and discusses all their new features. The book provides a wide range of applications of network analysis in several fields - financial networks, international migration, global trade, global food network, arms transfers, networks of terrorist groups, networks of international journals in economics. Real-world studies of networks indicate that the proposed centrality measures can identify important nodes in different applications. Starting from the basic ideas, the development of the indices and their advantages compared to existing centrality measures are presented. Features Built around real-world case studies in a variety of different areas (finance, migration, trade, etc.) Suitable for students and professional researchers with an interest in complex network analysis Paired with a software package for readers who wish to apply the proposed models of centrality (in Python) available at https: //github.com/SergSHV/slric"--

Handbook of Research on Advanced Applications of Graph Theory in Modern Society

Handbook of Research on Advanced Applications of Graph Theory in Modern Society

Author: Pal, Madhumangal

Publisher: IGI Global

Published: 2019-08-30

Total Pages: 591

ISBN-13: 1522593829

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In the world of mathematics and computer science, technological advancements are constantly being researched and applied to ongoing issues. Setbacks in social networking, engineering, and automation are themes that affect everyday life, and researchers have been looking for new techniques in which to solve these challenges. Graph theory is a widely studied topic that is now being applied to real-life problems. The Handbook of Research on Advanced Applications of Graph Theory in Modern Society is an essential reference source that discusses recent developments on graph theory, as well as its representation in social networks, artificial neural networks, and many complex networks. The book aims to study results that are useful in the fields of robotics and machine learning and will examine different engineering issues that are closely related to fuzzy graph theory. Featuring research on topics such as artificial neural systems and robotics, this book is ideally designed for mathematicians, research scholars, practitioners, professionals, engineers, and students seeking an innovative overview of graphic theory.


Book Synopsis Handbook of Research on Advanced Applications of Graph Theory in Modern Society by : Pal, Madhumangal

Download or read book Handbook of Research on Advanced Applications of Graph Theory in Modern Society written by Pal, Madhumangal and published by IGI Global. This book was released on 2019-08-30 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the world of mathematics and computer science, technological advancements are constantly being researched and applied to ongoing issues. Setbacks in social networking, engineering, and automation are themes that affect everyday life, and researchers have been looking for new techniques in which to solve these challenges. Graph theory is a widely studied topic that is now being applied to real-life problems. The Handbook of Research on Advanced Applications of Graph Theory in Modern Society is an essential reference source that discusses recent developments on graph theory, as well as its representation in social networks, artificial neural networks, and many complex networks. The book aims to study results that are useful in the fields of robotics and machine learning and will examine different engineering issues that are closely related to fuzzy graph theory. Featuring research on topics such as artificial neural systems and robotics, this book is ideally designed for mathematicians, research scholars, practitioners, professionals, engineers, and students seeking an innovative overview of graphic theory.

Applied Social Network Analysis With R: Emerging Research and Opportunities

Applied Social Network Analysis With R: Emerging Research and Opportunities

Author: Gençer, Mehmet

Publisher: IGI Global

Published: 2020-02-07

Total Pages: 284

ISBN-13: 1799819140

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Understanding the social relations within the fields of business and economics is vital for the promotion of success within a certain organization. Analytics and statistics have taken a prominent role in marketing and management practices as professionals are constantly searching for a competitive advantage. Converging these technological tools with traditional methods of business relations is a trending area of research. Applied Social Network Analysis With R: Emerging Research and Opportunities is an essential reference source that materializes and analyzes the issue of structure in terms of its effects on human societies and the state of the individuals in these communities. Even though the theme of the book is business-oriented, an approach underlining and strengthening the ties of this field of study with social sciences for further development is adopted throughout. Therefore, the knowledge presented is valid for analyzing not only the organization of the business world but also for the organization of any given community. Featuring research on topics such as network visualization, graph theory, and micro-dynamics, this book is ideally designed for researchers, practitioners, business professionals, managers, programmers, academicians, and students seeking coverage on analyzing social and business networks using modern methods of statistics, programming, and data sets.


Book Synopsis Applied Social Network Analysis With R: Emerging Research and Opportunities by : Gençer, Mehmet

Download or read book Applied Social Network Analysis With R: Emerging Research and Opportunities written by Gençer, Mehmet and published by IGI Global. This book was released on 2020-02-07 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding the social relations within the fields of business and economics is vital for the promotion of success within a certain organization. Analytics and statistics have taken a prominent role in marketing and management practices as professionals are constantly searching for a competitive advantage. Converging these technological tools with traditional methods of business relations is a trending area of research. Applied Social Network Analysis With R: Emerging Research and Opportunities is an essential reference source that materializes and analyzes the issue of structure in terms of its effects on human societies and the state of the individuals in these communities. Even though the theme of the book is business-oriented, an approach underlining and strengthening the ties of this field of study with social sciences for further development is adopted throughout. Therefore, the knowledge presented is valid for analyzing not only the organization of the business world but also for the organization of any given community. Featuring research on topics such as network visualization, graph theory, and micro-dynamics, this book is ideally designed for researchers, practitioners, business professionals, managers, programmers, academicians, and students seeking coverage on analyzing social and business networks using modern methods of statistics, programming, and data sets.

Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining

Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining

Author: Nitin Agarwal

Publisher: Springer

Published: 2018-09-17

Total Pages: 278

ISBN-13: 3319941054

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The contributors in this book share, exchange, and develop new concepts, ideas, principles, and methodologies in order to advance and deepen our understanding of social networks in the new generation of Information and Communication Technologies (ICT) enabled by Web 2.0, also referred to as social media, to help policy-making. This interdisciplinary work provides a platform for researchers, practitioners, and graduate students from sociology, behavioral science, computer science, psychology, cultural studies, information systems, operations research and communication to share, exchange, learn, and develop new concepts, ideas, principles, and methodologies. Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining will be of interest to researchers, practitioners, and graduate students from the various disciplines listed above. The text facilitates the dissemination of investigations of the dynamics and structure of web based social networks. The book can be used as a reference text for advanced courses on Social Network Analysis, Sociology, Communication, Organization Theory, Cyber-anthropology, Cyber-diplomacy, and Information Technology and Justice.


Book Synopsis Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining by : Nitin Agarwal

Download or read book Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining written by Nitin Agarwal and published by Springer. This book was released on 2018-09-17 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contributors in this book share, exchange, and develop new concepts, ideas, principles, and methodologies in order to advance and deepen our understanding of social networks in the new generation of Information and Communication Technologies (ICT) enabled by Web 2.0, also referred to as social media, to help policy-making. This interdisciplinary work provides a platform for researchers, practitioners, and graduate students from sociology, behavioral science, computer science, psychology, cultural studies, information systems, operations research and communication to share, exchange, learn, and develop new concepts, ideas, principles, and methodologies. Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining will be of interest to researchers, practitioners, and graduate students from the various disciplines listed above. The text facilitates the dissemination of investigations of the dynamics and structure of web based social networks. The book can be used as a reference text for advanced courses on Social Network Analysis, Sociology, Communication, Organization Theory, Cyber-anthropology, Cyber-diplomacy, and Information Technology and Justice.

Emerging Capabilities and Applications of Wireless Power Transfer

Emerging Capabilities and Applications of Wireless Power Transfer

Author: Triviño-Cabrera, Alicia

Publisher: IGI Global

Published: 2018-09-21

Total Pages: 383

ISBN-13: 1522558713

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Technologies that enable powering a device without the need for being connected with a cable to the grid are gaining attention in recent years due to the advantages that they provide. They are a commodity to users and provide additional functionalities that promote autonomy among the devices. Emerging Capabilities and Applications of Wireless Power Transfer is an essential reference source that analyzes the different applications of wireless power transfer technologies and how the technologies are adapted to fulfill the electrical, magnetic, and design-based requirements of different applications. Featuring research on topics such as transfer technologies, circuital analysis, and inductive power transfer, this book is a vital resource for academicians, electrical engineers, scientists, researchers, and industry professionals seeking coverage on device power and creating autonomy through alternative power options for devices.


Book Synopsis Emerging Capabilities and Applications of Wireless Power Transfer by : Triviño-Cabrera, Alicia

Download or read book Emerging Capabilities and Applications of Wireless Power Transfer written by Triviño-Cabrera, Alicia and published by IGI Global. This book was released on 2018-09-21 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technologies that enable powering a device without the need for being connected with a cable to the grid are gaining attention in recent years due to the advantages that they provide. They are a commodity to users and provide additional functionalities that promote autonomy among the devices. Emerging Capabilities and Applications of Wireless Power Transfer is an essential reference source that analyzes the different applications of wireless power transfer technologies and how the technologies are adapted to fulfill the electrical, magnetic, and design-based requirements of different applications. Featuring research on topics such as transfer technologies, circuital analysis, and inductive power transfer, this book is a vital resource for academicians, electrical engineers, scientists, researchers, and industry professionals seeking coverage on device power and creating autonomy through alternative power options for devices.

Sensing Techniques for Next Generation Cognitive Radio Networks

Sensing Techniques for Next Generation Cognitive Radio Networks

Author: Bagwari, Ashish

Publisher: IGI Global

Published: 2018-08-30

Total Pages: 356

ISBN-13: 152255355X

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The inadequate use of wireless spectrum resources has recently motivated researchers and practitioners to look for new ways to improve resource efficiency. As a result, new cognitive radio technologies have been proposed as an effective solution. Sensing Techniques for Next Generation Cognitive Radio Networks is a pivotal reference source that provides vital research on the application of spectrum sensing techniques. While highlighting topics such as radio identification, compressive sensing, and wavelet transform, this publication explores the standards and the methods of cognitive radio network architecture. This book is ideally designed for IT and network engineers, practitioners, and researchers seeking current research on radio scene analysis for cognitive radios and networks.


Book Synopsis Sensing Techniques for Next Generation Cognitive Radio Networks by : Bagwari, Ashish

Download or read book Sensing Techniques for Next Generation Cognitive Radio Networks written by Bagwari, Ashish and published by IGI Global. This book was released on 2018-08-30 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: The inadequate use of wireless spectrum resources has recently motivated researchers and practitioners to look for new ways to improve resource efficiency. As a result, new cognitive radio technologies have been proposed as an effective solution. Sensing Techniques for Next Generation Cognitive Radio Networks is a pivotal reference source that provides vital research on the application of spectrum sensing techniques. While highlighting topics such as radio identification, compressive sensing, and wavelet transform, this publication explores the standards and the methods of cognitive radio network architecture. This book is ideally designed for IT and network engineers, practitioners, and researchers seeking current research on radio scene analysis for cognitive radios and networks.

Emerging Automation Techniques for the Future Internet

Emerging Automation Techniques for the Future Internet

Author: Boucadair, Mohamed

Publisher: IGI Global

Published: 2018-10-12

Total Pages: 351

ISBN-13: 1522571477

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Automation techniques are meant to facilitate the delivery of flexible, agile, customized connectivity services regardless of the nature of the networking environment. New architectures combine advanced forwarding and routing schemes, mobility features, and customer-adapted resource facilities used for operation and delivery of services. Emerging Automation Techniques for the Future Internet is a collection of innovative research on the methods and applications of new architectures for the planning, dynamic delivery, and operation of services. While highlighting topics including policy enforcement, self-architectures, and automated networks, this book is ideally designed for engineers, IT consultants, professionals, researchers, academicians, and students seeking current research on techniques and structures used to enhance experience and services rendered.


Book Synopsis Emerging Automation Techniques for the Future Internet by : Boucadair, Mohamed

Download or read book Emerging Automation Techniques for the Future Internet written by Boucadair, Mohamed and published by IGI Global. This book was released on 2018-10-12 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automation techniques are meant to facilitate the delivery of flexible, agile, customized connectivity services regardless of the nature of the networking environment. New architectures combine advanced forwarding and routing schemes, mobility features, and customer-adapted resource facilities used for operation and delivery of services. Emerging Automation Techniques for the Future Internet is a collection of innovative research on the methods and applications of new architectures for the planning, dynamic delivery, and operation of services. While highlighting topics including policy enforcement, self-architectures, and automated networks, this book is ideally designed for engineers, IT consultants, professionals, researchers, academicians, and students seeking current research on techniques and structures used to enhance experience and services rendered.