Subset Vertex Graphs for Social Networks

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Author :
Publisher : Infinite Study
ISBN 13 :
Total Pages : 290 pages
Book Rating : 4./5 ( download)

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Book Synopsis Subset Vertex Graphs for Social Networks by : W. B. Vasantha Kandasamy

Download or read book Subset Vertex Graphs for Social Networks written by W. B. Vasantha Kandasamy and published by Infinite Study. This book was released on with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social information networks concept was introduced or perceived by researchers Emile Durkheim and Ferdinand Tonnies as social groups as early as 1890’s . However Tonnies argued that social groups can exist as personal and direct social ties that either link individuals who share values and beliefs or impersonal, formal and instrumental social links but Durkheim gave a non individualistic explanation of social facts arguing that social phenomena arise when interacting individuals constitute a reality that can no longer be accounted for in terms of the properties of individual actors. Georg Simmel analyzed the network size on interaction and examined and likelihood of interaction in loosely knit networks rather than groups.

Special Subset Vertex Subgraphs for Social Networks

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Publisher : Infinite Study
ISBN 13 : 1599735636
Total Pages : 288 pages
Book Rating : 4.5/5 (997 download)

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Book Synopsis Special Subset Vertex Subgraphs for Social Networks by : W. B. Vasantha Kandasamy

Download or read book Special Subset Vertex Subgraphs for Social Networks written by W. B. Vasantha Kandasamy and published by Infinite Study. This book was released on 2018-01-01 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book authors for the first time introduce the new notion of special subset vertex subgraph of subset vertex graphs introduced recently. These subset vertex graphs takes the vertex set values from the power set P(X) of any set X. The main speciality of these subset vertex graphs is that once a set of subsets from P(X) is given, the edges of the graph are fixed in a unique way, so for a given collection of subset vertices the graph is always unique.

Subset Vertex Multigraphs and Neutrosophic Multigraphs for Social Multi Networks

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Publisher : Infinite Study
ISBN 13 : 1599736020
Total Pages : 296 pages
Book Rating : 4.5/5 (997 download)

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Book Synopsis Subset Vertex Multigraphs and Neutrosophic Multigraphs for Social Multi Networks by : W. B. Vasantha Kandasamy

Download or read book Subset Vertex Multigraphs and Neutrosophic Multigraphs for Social Multi Networks written by W. B. Vasantha Kandasamy and published by Infinite Study. This book was released on 2019 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book authors introduce the notion of subset vertex multigraphs for the first time. The study of subset vertex graphs was introduced in 2018, however they are not multiedged, further they were unique once the vertex subsets are given. These subset vertex multigraphs are also unique once the vertex subsets are given and the added advantage is that the number of common elements between two vertex subsets accounts for the number of edges between them, when there is no common element there is no edge between them.

Special Subset Vertex Multisubgraphs for Multi Networks

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Publisher : Infinite Study
ISBN 13 :
Total Pages : 253 pages
Book Rating : 4./5 ( download)

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Book Synopsis Special Subset Vertex Multisubgraphs for Multi Networks by : W. B. Vasantha Kandasamy, Ilanthenral K, Florentin Smarandache

Download or read book Special Subset Vertex Multisubgraphs for Multi Networks written by W. B. Vasantha Kandasamy, Ilanthenral K, Florentin Smarandache and published by Infinite Study. This book was released on with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book authors study special type of subset vertex multi subgraphs; these multi subgraphs can be directed or otherwise. Another special feature of these subset vertex multigraphs is that we are aware of the elements in each vertex set and how it affects the structure of both subset vertex multisubgraphs and edge multisubgraphs. It is pertinent to record at this juncture that certain ego centric directed multistar graphs become empty on the removal of one edge, there by theorising the importance, and giving certain postulates how to safely form ego centric multi networks.

Multigraphs for Multi Networks

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Publisher : Infinite Study
ISBN 13 : 1599736012
Total Pages : 319 pages
Book Rating : 4.5/5 (997 download)

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Book Synopsis Multigraphs for Multi Networks by : W. B. Vasantha Kandasamy

Download or read book Multigraphs for Multi Networks written by W. B. Vasantha Kandasamy and published by Infinite Study. This book was released on 2019 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book any network which can be represented as a multigraph is referred to as a multi network. Several properties of multigraphs have been described and developed in this book. When multi path or multi walk or multi trail is considered in a multigraph, it is seen that there can be many multi walks, and so on between any two nodes and this makes multigraphs very different.

Plithogenic Graphs

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Publisher : Infinite Study
ISBN 13 :
Total Pages : 298 pages
Book Rating : 4./5 ( download)

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Book Synopsis Plithogenic Graphs by : W. B. Vasantha Kandasamy

Download or read book Plithogenic Graphs written by W. B. Vasantha Kandasamy and published by Infinite Study. This book was released on with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: The plithogenic set is a generalization of crisp, fuzzy, intuitionistic fuzzy, and Neutrosophic sets, it is a set whose elements are characterized by many attributes' values. This book gives some possible applications of plithogenic sets defined by Florentin Smarandache (2018). The authors have defined a new class of special type of graphs which can be applied for plithogenic models.

Mathematical Foundations of Computer Science 2011

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Publisher : Springer Science & Business Media
ISBN 13 : 3642229921
Total Pages : 630 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Mathematical Foundations of Computer Science 2011 by : Filip Murlak

Download or read book Mathematical Foundations of Computer Science 2011 written by Filip Murlak and published by Springer Science & Business Media. This book was released on 2011-08-09 with total page 630 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the 36th International Symposium on Mathematical Foundations of Computer Science, MFCS 2011, held in Warsaw, Poland, in August 2011. The 48 revised full papers presented together with 6 invited talks were carefully reviewed and selected from 129 submissions. Topics covered include algorithmic game theory, algorithmic learning theory, algorithms and data structures, automata, grammars and formal languages, bioinformatics, complexity, computational geometry, computer-assisted reasoning, concurrency theory, cryptography and security, databases and knowledge-based systems, formal specifications and program development, foundations of computing, logic in computer science, mobile computing, models of computation, networks, parallel and distributed computing, quantum computing, semantics and verification of programs, and theoretical issues in artificial intelligence.

Finding Communities in Social Networks Using Graph Embeddings

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Publisher : Springer Nature
ISBN 13 : 3031609166
Total Pages : 183 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Finding Communities in Social Networks Using Graph Embeddings by : Mosab Alfaqeeh

Download or read book Finding Communities in Social Networks Using Graph Embeddings written by Mosab Alfaqeeh and published by Springer Nature. This book was released on with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Social Network Analysis Applied to Team Sports Analysis

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Publisher : Springer
ISBN 13 : 3319258559
Total Pages : 101 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Social Network Analysis Applied to Team Sports Analysis by : Filipe Manuel Clemente

Download or read book Social Network Analysis Applied to Team Sports Analysis written by Filipe Manuel Clemente and published by Springer. This book was released on 2015-11-06 with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explaining how graph theory and social network analysis can be applied to team sports analysis, This book presents useful approaches, models and methods that can be used to characterise the overall properties of team networks and identify the prominence of each team player. Exploring the different possible network metrics that can be utilised in sports analysis, their possible applications and variances from situation to situation, the respective chapters present an array of illustrative case studies. Identifying the general concepts of social network analysis and network centrality metrics, readers are shown how to generate a methodological protocol for data collection. As such, the book provides a valuable resource for students of the sport sciences, sports engineering, applied computation and the social sciences.

Computational Social Networks

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Publisher : Springer Science & Business Media
ISBN 13 : 1447140486
Total Pages : 474 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Computational Social Networks by : Ajith Abraham

Download or read book Computational Social Networks written by Ajith Abraham and published by Springer Science & Business Media. This book was released on 2012-06-28 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first of three volumes that illustrate the concept of social networks from a computational point of view. The book contains contributions from a international selection of world-class experts, with a specific focus on practical tools, applications, and open avenues for further research (the other two volumes review issues of Security and Privacy, and Mining and Visualization in CSNs). Topics and features: presents the latest advances in CSNs, and illustrates how organizations can gain a competitive advantage by applying these ideas in real-world scenarios; discusses the design and use of a wide range of computational tools and software for social network analysis; describes simulations of social networks, the representation and analysis of social networks, and the use of semantic networks in knowledge discovery and visualization; provides experience reports, survey articles, and intelligence techniques and theories relating to specific problems in network technology.

Evolution of Social Networks

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Publisher : Routledge
ISBN 13 : 1136647252
Total Pages : 271 pages
Book Rating : 4.1/5 (366 download)

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Book Synopsis Evolution of Social Networks by : Patrick Doreian

Download or read book Evolution of Social Networks written by Patrick Doreian and published by Routledge. This book was released on 2013-02-01 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book answers the question of whether we can apply evolutionary theories to our understanding of the development of social structures. Social networks have increasingly become the focus of many social scientists as a way of analyzing these social structures. While many powerful network analytic tools have been developed and applied to a wide range of empirical phenomena, understanding the evolution of social organization still requires theories and analyses of social network evolutionary processes. Researchers from a variety of disciplines have combined their efforts in what is an indication of some very promising future research and the work represented in this volume provides a basis for a sustained analysis of the evolution of social life.

Social Networks

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Publisher : CRC Press
ISBN 13 : 1000540006
Total Pages : 220 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Social Networks by : Niyati Aggrawal

Download or read book Social Networks written by Niyati Aggrawal and published by CRC Press. This book was released on 2022-02-18 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this book is to provide a reference for applications of mathematical modelling in social media and related network analysis and offer a theoretically sound background with adequate suggestions for better decision-making. Social Networks: Modelling and Analysis provides the essential knowledge of network analysis applicable to real-world data, with examples from today's most popular social networks such as Facebook, Twitter, Instagram, YouTube, etc. The book provides basic notation and terminology used in social media and its network science. It covers the analysis of statistics for social network analysis such as degree distribution, centrality, clustering coefficient, diameter, and path length. The ranking of the pages using rank algorithms such as Page Rank and HITS are also discussed. Written as a reference this book is for engineering and management students, research scientists, as well as academicians involved in complex networks, mathematical sciences, and marketing research.

Random Graphs and Complex Networks

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Publisher : Cambridge University Press
ISBN 13 : 110717287X
Total Pages : 341 pages
Book Rating : 4.1/5 (71 download)

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Book Synopsis Random Graphs and Complex Networks by : Remco van der Hofstad

Download or read book Random Graphs and Complex Networks written by Remco van der Hofstad and published by Cambridge University Press. This book was released on 2017 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: This classroom-tested text is the definitive introduction to the mathematics of network science, featuring examples and numerous exercises.

The Influence of Technology on Social Network Analysis and Mining

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Publisher : Springer Science & Business Media
ISBN 13 : 3709113466
Total Pages : 652 pages
Book Rating : 4.7/5 (91 download)

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Book Synopsis The Influence of Technology on Social Network Analysis and Mining by : Tansel Özyer

Download or read book The Influence of Technology on Social Network Analysis and Mining written by Tansel Özyer and published by Springer Science & Business Media. This book was released on 2013-03-15 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Graph Theory and Complex Networks

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Author :
Publisher : Maarten Van Steen
ISBN 13 : 9789081540612
Total Pages : 285 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Graph Theory and Complex Networks by : Maarten van Steen

Download or read book Graph Theory and Complex Networks written by Maarten van Steen and published by Maarten Van Steen. This book was released on 2010 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to explain the basics of graph theory that are needed at an introductory level for students in computer or information sciences. To motivate students and to show that even these basic notions can be extremely useful, the book also aims to provide an introduction to the modern field of network science. Mathematics is often unnecessarily difficult for students, at times even intimidating. For this reason, explicit attention is paid in the first chapters to mathematical notations and proof techniques, emphasizing that the notations form the biggest obstacle, not the mathematical concepts themselves. This approach allows to gradually prepare students for using tools that are necessary to put graph theory to work: complex networks. In the second part of the book the student learns about random networks, small worlds, the structure of the Internet and the Web, peer-to-peer systems, and social networks. Again, everything is discussed at an elementary level, but such that in the end students indeed have the feeling that they: 1.Have learned how to read and understand the basic mathematics related to graph theory. 2.Understand how basic graph theory can be applied to optimization problems such as routing in communication networks. 3.Know a bit more about this sometimes mystical field of small worlds and random networks. There is an accompanying web site www.distributed-systems.net/gtcn from where supplementary material can be obtained, including exercises, Mathematica notebooks, data for analyzing graphs, and generators for various complex networks.

Handbook of Graphs and Networks in People Analytics

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Publisher : CRC Press
ISBN 13 : 100059727X
Total Pages : 266 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Handbook of Graphs and Networks in People Analytics by : Keith McNulty

Download or read book Handbook of Graphs and Networks in People Analytics written by Keith McNulty and published by CRC Press. This book was released on 2022-06-19 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Graphs and Networks in People Analytics: With Examples in R and Python covers the theory and practical implementation of graph methods in R and Python for the analysis of people and organizational networks. Starting with an overview of the origins of graph theory and its current applications in the social sciences, the book proceeds to give in-depth technical instruction on how to construct and store graphs from data, how to visualize those graphs compellingly and how to convert common data structures into graph-friendly form. The book explores critical elements of network analysis in detail, including the measurement of distance and centrality, the detection of communities and cliques, and the analysis of assortativity and similarity. An extension chapter offers an introduction to graph database technologies. Real data sets from various research contexts are used for both instruction and for end of chapter practice exercises and a final chapter contains data sets and exercises ideal for larger personal or group projects of varying difficulty level. Key features: Immediately implementable code, with extensive and varied illustrations of graph variants and layouts. Examples and exercises across a variety of real-life contexts including business, politics, education, social media and crime investigation. Dedicated chapter on graph visualization methods. Practical walkthroughs of common methodological uses: finding influential actors in groups, discovering hidden community structures, facilitating diverse interaction in organizations, detecting political alignment, determining what influences connection and attachment. Various downloadable data sets for use both in class and individual learning projects. Final chapter dedicated to individual or group project examples.

Graph Theoretic Approaches for Analyzing Large-Scale Social Networks

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Author :
Publisher : IGI Global
ISBN 13 : 1522528156
Total Pages : 376 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Graph Theoretic Approaches for Analyzing Large-Scale Social Networks by : Meghanathan, Natarajan

Download or read book Graph Theoretic Approaches for Analyzing Large-Scale Social Networks written by Meghanathan, Natarajan and published by IGI Global. This book was released on 2017-07-13 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social network analysis has created novel opportunities within the field of data science. The complexity of these networks requires new techniques to optimize the extraction of useful information. Graph Theoretic Approaches for Analyzing Large-Scale Social Networks is a pivotal reference source for the latest academic research on emerging algorithms and methods for the analysis of social networks. Highlighting a range of pertinent topics such as influence maximization, probabilistic exploration, and distributed memory, this book is ideally designed for academics, graduate students, professionals, and practitioners actively involved in the field of data science.