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Graph Theoretic Approaches For Analyzing Large Scale Social Networks
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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 355 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.
Book Synopsis State of the Art Applications of Social Network Analysis by : Fazli Can
Download or read book State of the Art Applications of Social Network Analysis written by Fazli Can and published by Springer. This book was released on 2014-05-14 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social network analysis increasingly bridges the discovery of patterns in diverse areas of study as more data becomes available and complex. Yet the construction of huge networks from large data often requires entirely different approaches for analysis including; graph theory, statistics, machine learning and data mining. This work covers frontier studies on social network analysis and mining from different perspectives such as social network sites, financial data, e-mails, forums, academic research funds, XML technology, blog content, community detection and clique finding, prediction of user’s- behavior, privacy in social network analysis, mobility from spatio-temporal point of view, agent technology and political parties in parliament. These topics will be of interest to researchers and practitioners from different disciplines including, but not limited to, social sciences and engineering.
Book Synopsis Handbook of Research on Pattern Engineering System Development for Big Data Analytics by : Tiwari, Vivek
Download or read book Handbook of Research on Pattern Engineering System Development for Big Data Analytics written by Tiwari, Vivek and published by IGI Global. This book was released on 2018-04-20 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries. It is necessary to develop new techniques for managing data in order to ensure adequate usage. The Handbook of Research on Pattern Engineering System Development for Big Data Analytics is a critical scholarly resource that examines the incorporation of pattern management in business technologies as well as decision making and prediction process through the use of data management and analysis. Featuring coverage on a broad range of topics such as business intelligence, feature extraction, and data collection, this publication is geared towards professionals, academicians, practitioners, and researchers seeking current research on the development of pattern management systems for business applications.
Book Synopsis Graph Theoretic Methods in Multiagent Networks by : Mehran Mesbahi
Download or read book Graph Theoretic Methods in Multiagent Networks written by Mehran Mesbahi and published by Princeton University Press. This book was released on 2010-07-01 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: This accessible book provides an introduction to the analysis and design of dynamic multiagent networks. Such networks are of great interest in a wide range of areas in science and engineering, including: mobile sensor networks, distributed robotics such as formation flying and swarming, quantum networks, networked economics, biological synchronization, and social networks. Focusing on graph theoretic methods for the analysis and synthesis of dynamic multiagent networks, the book presents a powerful new formalism and set of tools for networked systems. The book's three sections look at foundations, multiagent networks, and networks as systems. The authors give an overview of important ideas from graph theory, followed by a detailed account of the agreement protocol and its various extensions, including the behavior of the protocol over undirected, directed, switching, and random networks. They cover topics such as formation control, coverage, distributed estimation, social networks, and games over networks. And they explore intriguing aspects of viewing networks as systems, by making these networks amenable to control-theoretic analysis and automatic synthesis, by monitoring their dynamic evolution, and by examining higher-order interaction models in terms of simplicial complexes and their applications. The book will interest graduate students working in systems and control, as well as in computer science and robotics. It will be a standard reference for researchers seeking a self-contained account of system-theoretic aspects of multiagent networks and their wide-ranging applications. This book has been adopted as a textbook at the following universities: ? University of Stuttgart, Germany Royal Institute of Technology, Sweden Johannes Kepler University, Austria Georgia Tech, USA University of Washington, USA Ohio University, USA
Book Synopsis Social Network Analysis: An Introduction with an Extensive Implementation to a Large-Scale Online Network Using Pajek by : Seifedine Kadry
Download or read book Social Network Analysis: An Introduction with an Extensive Implementation to a Large-Scale Online Network Using Pajek written by Seifedine Kadry and published by Bentham Science Publishers. This book was released on 2014-01-08 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: This brief textbook explains the principles of social network analysis. The book goes beyond theoretical concepts and gives the reader complete knowledge about how to apply analytical techniques using Pajek to perform a large-scale network analysis. The book covers the topic in 2 sections – the first detailing fundamentals of research design and the next one about methods and applications. Readers can then apply the techniques in this book to other online communities, such as Facebook and Twitter. The book is intended for networking students and general readers who want to learn the basics without going deep into mathematical methods. It is also useful for researchers and professionals from other fields seeking to understand the basics of large-scale social network analysis.
Book Synopsis Risk Analysis for the Digital Age by : Anton Gerunov
Download or read book Risk Analysis for the Digital Age written by Anton Gerunov and published by Springer Nature. This book was released on 2022-11-16 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a foray into the fascinating process of risk management, beginning from classical methods and approaches to understanding risk all the way into cutting-age thinking. Risk management by necessity must lie at the heart of governing our ever more complex digital societies. New phenomena and activities necessitate a new look at how individuals, firms, and states manage the uncertainty they must operate in. Initial chapters provide an introduction to traditional methods and show how they can be built upon to better understand the workings of the modern economy. Later chapters review digital activities and assets like cryptocurrencies showing how such emergent risks can be conceptualized better. Network theory figures prominently and the book demonstrates how it can be used to gauge the risk in the digital sectors of the economy. Predicting the unpredictable black swan events is also discussed in view of a wider adoption of economic simulations. The journey concludes by looking at how individuals perceive risk and make decisions as they operate in a virtual social network. This book interests the academic audience, but it also features insights and novel research results that are relevant for practitioners and policymakers.
Book Synopsis Graph-Based Social Media Analysis by : Ioannis Pitas
Download or read book Graph-Based Social Media Analysis written by Ioannis Pitas and published by Chapman and Hall/CRC. This book was released on 2015-10-22 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive introduction to the use of graph analysis in the study of social media and digital media. It covers the following topics: graphs in social media, graph theory, algebraic analysis of graphs, graph clustering, diffusion in social media, label propagation in graphs, graphs in pattern recognition and machine learning, tensors in graph analysis, recommendation systems based on hypergraphs, big data approaches for social media and graph clustering and graph-based approaches for evolving social data.
Author :Management Association, Information Resources Publisher :IGI Global ISBN 13 :179987298X Total Pages :2049 pages Book Rating :4.7/5 (998 download)
Book Synopsis Research Anthology on Digital Transformation, Organizational Change, and the Impact of Remote Work by : Management Association, Information Resources
Download or read book Research Anthology on Digital Transformation, Organizational Change, and the Impact of Remote Work written by Management Association, Information Resources and published by IGI Global. This book was released on 2020-10-30 with total page 2049 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the use of remote work has recently skyrocketed, digital transformation within the workplace has gone under a microscope, and it has become abundantly clear that the incorporation of new technologies in the workplace is the future of business. These technologies keep businesses up to date with their capabilities to perform remote work and make processes more efficient and effective than ever before. In understanding digital transformation in the workplace there needs to be advanced research on technology, organizational change, and the impacts of remote work on the business, the employees, and day-to-day work practices. This advancement to a digital work culture and remote work is rapidly undergoing major advancements, and research is needed to keep up with both the positives and negatives to this transformation. The Research Anthology on Digital Transformation, Organizational Change, and the Impact of Remote Work contains hand-selected, previously published research that explores the impacts of remote work on business workplaces while also focusing on digital transformation for improving the efficiency of work. While highlighting work technologies, digital practices, business management, organizational change, and the effects of remote work on employees, this book is an all-encompassing research work intended for managers, business owners, IT specialists, executives, practitioners, stakeholders, researchers, academicians, and students interested in how digital transformation and remote work is affecting workplaces.
Book Synopsis Advances in Data and Information Sciences by : Mohan L. Kolhe
Download or read book Advances in Data and Information Sciences written by Mohan L. Kolhe and published by Springer Nature. This book was released on 2020-01-02 with total page 679 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers a collection of high-quality peer-reviewed research papers presented at the 2nd International Conference on Data and Information Sciences (ICDIS 2019), held at Raja Balwant Singh Engineering Technical Campus, Agra, India, on March 29–30, 2019. In chapters written by leading researchers, developers, and practitioner from academia and industry, it covers virtually all aspects of computational sciences and information security, including central topics like artificial intelligence, cloud computing, and big data. Highlighting the latest developments and technical solutions, it will show readers from the computer industry how to capitalize on key advances in next-generation computer and communication technology.
Book Synopsis Formal Concept Analysis of Social Networks by : Rokia Missaoui
Download or read book Formal Concept Analysis of Social Networks written by Rokia Missaoui and published by Springer. This book was released on 2017-11-03 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book studies the existing and potential connections between Social Network Analysis (SNA) and Formal Concept Analysis (FCA) by showing how standard SNA techniques, usually based on graph theory, can be supplemented by FCA methods, which rely on lattice theory. The book presents contributions to the following areas: acquisition of terminological knowledge from social networks, knowledge communities, individuality computation, other types of FCA-based analysis of bipartite graphs (two-mode networks), multimodal clustering, community detection and description in one-mode and multi-mode networks, adaptation of the dual-projection approach to weighted bipartite graphs, extensions to the Kleinberg's HITS algorithm as well as attributed graph analysis.
Book Synopsis Distributed and Cloud Computing by : Kai Hwang
Download or read book Distributed and Cloud Computing written by Kai Hwang and published by Morgan Kaufmann. This book was released on 2013-12-18 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed and Cloud Computing: From Parallel Processing to the Internet of Things offers complete coverage of modern distributed computing technology including clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud computing. It is the first modern, up-to-date distributed systems textbook; it explains how to create high-performance, scalable, reliable systems, exposing the design principles, architecture, and innovative applications of parallel, distributed, and cloud computing systems. Topics covered by this book include: facilitating management, debugging, migration, and disaster recovery through virtualization; clustered systems for research or ecommerce applications; designing systems as web services; and social networking systems using peer-to-peer computing. The principles of cloud computing are discussed using examples from open-source and commercial applications, along with case studies from the leading distributed computing vendors such as Amazon, Microsoft, and Google. Each chapter includes exercises and further reading, with lecture slides and more available online. This book will be ideal for students taking a distributed systems or distributed computing class, as well as for professional system designers and engineers looking for a reference to the latest distributed technologies including cloud, P2P and grid computing. Complete coverage of modern distributed computing technology including clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud computing Includes case studies from the leading distributed computing vendors: Amazon, Microsoft, Google, and more Explains how to use virtualization to facilitate management, debugging, migration, and disaster recovery Designed for undergraduate or graduate students taking a distributed systems course—each chapter includes exercises and further reading, with lecture slides and more available online
Book Synopsis Introducing Social Networks by : Alain Degenne
Download or read book Introducing Social Networks written by Alain Degenne and published by SAGE. This book was released on 1999-08-09 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: This first-rate introduction to the study of social networks combines a hands-on manual with an up-to-date review of the latest research and techniques. The authors provide a thorough grounding in the application of the methods of social network analysis. They offer an understanding of the theory of social structures in which social network analysis is grounded, a summary of the concepts needed for dealing with more advanced techniques, and guides for using the primary computer software packages for social network analysis.
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.
Book Synopsis Developing a Keyword Extractor and Document Classifier: Emerging Research and Opportunities by : Paul, Dimple Valayil
Download or read book Developing a Keyword Extractor and Document Classifier: Emerging Research and Opportunities written by Paul, Dimple Valayil and published by IGI Global. This book was released on 2021-01-08 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main problems that prevent fast and high-quality document processing in electronic document management systems are insufficient and unstructured information, information redundancy, and the presence of large amounts of undesirable user information. The human factor has a significant impact on the efficiency of document search. An average user is not aware of the advanced option of a query language and uses typical queries. Development of a specialized software toolkit intended for information systems and electronic document management systems can be an effective solution of the tasks listed above. Such toolkits should be based on the means and methods of automatic keyword extraction and text classification. The categorization (or classification) of texts into predefined categories has witnessed a booming interest in the last 10 years due to the increased availability of documents in digital form and the ensuing need to organize them. Thus, research on keyword extraction, advancements in the field, and possible future solutions is of great importance in current times. Developing a Keyword Extractor and Document Classifier: Emerging Research and Opportunities presents an information extraction mechanism that can process many kinds of inputs, realize the type of text, and understand the percentage of the keywords that has to be stored. This mechanism then supports information extraction and information categorization mechanisms. This module is used to support a text summarization mechanism, which leads—with the help of the keyword extraction module—to text categorization. It employs lexical and information retrieval techniques to extract phrases from the document text that are likely to characterize it and determines the category of the retrieved text to present a summary to the users. This book is ideal for practitioners, stakeholders, researchers, academicians, and students who are interested in the development of a new keyword extractor and document classifier method.
Book Synopsis Mobile Applications and Solutions for Social Inclusion by : Paiva, Sara
Download or read book Mobile Applications and Solutions for Social Inclusion written by Paiva, Sara and published by IGI Global. This book was released on 2018-05-19 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advancements in technology have allowed the creation of new tools and innovations that can improve different aspects of life. Mobile technologies are an ever-expanding area of research that can benefit users. Mobile Applications and Solutions for Social Inclusion provides emerging research on the use of mobile technology to assist in improving social inclusion in several domains and for users in their daily lives. While highlighting topics such as alert systems, indoor navigation, and tracking and monitoring, this publication explores the various applications and techniques of mobile solutions in assistive technology. This book is an important resource for researchers, academics, professionals, and students seeking current research on the benefits and uses of mobile devices for end users and community acceptance.
Book Synopsis Optimizing E-Participation Initiatives Through Social Media by : Alcaide-Muñoz, Laura
Download or read book Optimizing E-Participation Initiatives Through Social Media written by Alcaide-Muñoz, Laura and published by IGI Global. This book was released on 2018-05-09 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: As technology and social media tools become more integrated into society, they provide important frameworks for online government and community collaboration. Optimizing E-Participation Initiatives Through Social Media provides emerging research on the role of online web technologies in promoting citizen and community involvement in public affairs. While highlighting topics such as online transaction, participatory design, and e-polling, this publication explores the use of Web 2.0 by governments to create more affordable, participatory, and transparent public-sector management models. This book is an important resource for academicians, practitioners, and researchers seeking current research on online public involvement in government policy decision making.
Book Synopsis Social Network Analysis for Startups by : Maksim Tsvetovat
Download or read book Social Network Analysis for Startups written by Maksim Tsvetovat and published by "O'Reilly Media, Inc.". This book was released on 2011-10-06 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: Does your startup rely on social network analysis? This concise guide provides a statistical framework to help you identify social processes hidden among the tons of data now available. Social network analysis (SNA) is a discipline that predates Facebook and Twitter by 30 years. Through expert SNA researchers, you'll learn concepts and techniques for recognizing patterns in social media, political groups, companies, cultural trends, and interpersonal networks. You'll also learn how to use Python and other open source tools—such as NetworkX, NumPy, and Matplotlib—to gather, analyze, and visualize social data. This book is the perfect marriage between social network theory and practice, and a valuable source of insight and ideas. Discover how internal social networks affect a company’s ability to perform Follow terrorists and revolutionaries through the 1998 Khobar Towers bombing, the 9/11 attacks, and the Egyptian uprising Learn how a single special-interest group can control the outcome of a national election Examine relationships between companies through investment networks and shared boards of directors Delve into the anatomy of cultural fads and trends—offline phenomena often mediated by Twitter and Facebook
