Mining Network Analysis
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Mining Network Analysis
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Author : Frank Wellington
language : en
Publisher: Publifye AS
Release Date : 2025-02-22
Mining Network Analysis written by Frank Wellington and has been published by Publifye AS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-22 with Technology & Engineering categories.
Mining Network Analysis explores the complex infrastructure of cryptocurrency and blockchain systems, focusing on the crucial role of mining networks. It examines how these networks function by analyzing node distribution and consensus mechanisms like Proof-of-Work and Proof-of-Stake. Understanding these elements is vital because mining networks guarantee the integrity of decentralized digital currencies. Did you know that a skewed distribution of nodes can expose a network to vulnerabilities, even if its consensus algorithm is theoretically sound? The book takes a data-driven approach, using empirical analysis of blockchain data and statistical modeling to illustrate real-world network behavior. Beginning with core mining concepts, it progresses to analyze node distribution models and dissect various consensus mechanisms. It emphasizes the equilibrium between node distribution and the security properties of consensus mechanisms, and concludes by suggesting strategies for improving network decentralization and mitigating potential attack vectors.
Practical Social Network Analysis With Python
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Author : Krishna Raj P.M.
language : en
Publisher: Springer
Release Date : 2018-08-25
Practical Social Network Analysis With Python written by Krishna Raj P.M. and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-25 with Computers categories.
This book focuses on social network analysis from a computational perspective, introducing readers to the fundamental aspects of network theory by discussing the various metrics used to measure the social network. It covers different forms of graphs and their analysis using techniques like filtering, clustering and rule mining, as well as important theories like small world phenomenon. It also presents methods for identifying influential nodes in the network and information dissemination models. Further, it uses examples to explain the tools for visualising large-scale networks, and explores emerging topics like big data and deep learning in the context of social network analysis. With the Internet becoming part of our everyday lives, social networking tools are used as the primary means of communication. And as the volume and speed of such data is increasing rapidly, there is a need to apply computational techniques to interpret and understand it. Moreover, relationships in molecular structures, co-authors in scientific journals, and developers in a software community can also be understood better by visualising them as networks. This book brings together the theory and practice of social network analysis and includes mathematical concepts, computational techniques and examples from the real world to offer readers an overview of this domain.
Data Mining In Dynamic Social Networks And Fuzzy Systems
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Author : Vishal Bhatnagar
language : en
Publisher:
Release Date : 2013
Data Mining In Dynamic Social Networks And Fuzzy Systems written by Vishal Bhatnagar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Data mining categories.
Many organizations, whether in the public or private sector, have begun to take advantage of the tools and techniques used for data mining. Utilizing data mining tools, these organizations are able to reveal the hidden and unknown information from available data. Data Mining in Dynamic Social Networks and Fuzzy Systems brings together research on the latest trends and patterns of data mining tools and techniques in dynamic social networks and fuzzy systems. With these improved modern techniques of data mining, this publication aims to provide insight and support to researchers and professionals concerned with the management of expertise, knowledge, information, and organizational development.
Web Data Mining
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Author : Bing Liu
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-06-25
Web Data Mining written by Bing Liu 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 2011-06-25 with Computers categories.
Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning foundations, where all the essential concepts and algorithms of data mining and machine learning are presented. The second part covers the key topics of Web mining, where Web crawling, search, social network analysis, structured data extraction, information integration, opinion mining and sentiment analysis, Web usage mining, query log mining, computational advertising, and recommender systems are all treated both in breadth and in depth. His book thus brings all the related concepts and algorithms together to form an authoritative and coherent text. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in Web mining and data mining both as a learning text and as a reference book. Professors can readily use it for classes on data mining, Web mining, and text mining. Additional teaching materials such as lecture slides, datasets, and implemented algorithms are available online.
State Of The Art Applications Of Social Network Analysis
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Author : Fazli Can
language : en
Publisher: Springer
Release Date : 2014-05-14
State Of The Art Applications Of Social Network Analysis written by Fazli Can and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-14 with Computers categories.
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.
Mining Heterogeneous Information Networks
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Author : Yizhou Sun
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2012
Mining Heterogeneous Information Networks written by Yizhou Sun and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Computers categories.
Investigates the principles and methodologies of mining heterogeneous information networks. Departing from many existing network models that view interconnected data as homogeneous graphs or networks, the semi-structured heterogeneous information network model leverages the rich semantics of typed nodes and links in a network and uncovers surprisingly rich knowledge from the network.
Mining Complex Networks
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Author : Bogumil Kaminski
language : en
Publisher: CRC Press
Release Date : 2024-08-26
Mining Complex Networks written by Bogumil Kaminski and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-26 with Business & Economics categories.
This book concentrates on mining networks, a subfield within data science. Mining complex networks to understand the principles governing the organization and the behaviour of such networks is crucial for a broad range of fields of study.
Handbook Of Research On Connecting Research Methods For Information Science Research
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Author : Ngulube, Patrick
language : en
Publisher: IGI Global
Release Date : 2019-12-13
Handbook Of Research On Connecting Research Methods For Information Science Research written by Ngulube, Patrick and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-13 with Language Arts & Disciplines categories.
In today’s globalized world, viable and reliable research is fundamental for the development of information. Innovative methods of research have begun to shed light on notable issues and concerns that affect the advancement of knowledge within information science. Building on previous literature and exploring these new research techniques are necessary to understand the future of information and knowledge. The Handbook of Research on Connecting Research Methods for Information Science Research is a collection of innovative research on the methods and application of study methods within library and information science. While highlighting topics including data management, philosophical foundations, and quantitative methodology, this book is ideally designed for librarians, information science professionals, policymakers, advanced-level students, researchers, and academicians seeking current research on transformative methods of research within information science.
Complex Networks Their Applications Xii
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Author : Hocine Cherifi
language : en
Publisher: Springer Nature
Release Date : 2024-02-20
Complex Networks Their Applications Xii written by Hocine Cherifi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-20 with Science categories.
This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the XII International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2023). The carefully selected papers cover a wide range of theoretical topics such as network embedding and network geometry; community structure, network dynamics; diffusion, epidemics and spreading processes; machine learning and graph neural networks as well as all the main network applications, including social and political networks; networks in finance and economics; biological networks and technological networks.
Data Science For Everyone
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Author : Fatih AKAY
language : en
Publisher: Fatih Akay
Release Date : 2023-03-20
Data Science For Everyone written by Fatih AKAY and has been published by Fatih Akay this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-20 with Young Adult Nonfiction categories.
"Data Science for Everyone: A Beginner's Guide to Big Data and Analytics" is a comprehensive guide for anyone interested in exploring the field of data science. Written in a user-friendly style, this book is designed to be accessible to readers with no prior background in data science. The book covers the fundamentals of data science and analytics, including data collection, data analysis, and data visualization. It also provides an overview of the most commonly used tools and techniques for working with big data. The book begins with an introduction to data science and its applications, followed by an overview of the different types of data and the challenges of working with them. The subsequent chapters delve into the main topics of data science, such as data exploration, data cleaning, data modeling, and data visualization, providing step-by-step instructions and practical examples to help readers master each topic. Throughout the book, the authors emphasize the importance of data ethics and responsible data management. They also cover the basics of machine learning, artificial intelligence, and deep learning, and their applications in data science. By the end of this book, readers will have a solid understanding of the key concepts and techniques used in data science, and will be able to apply them to real-world problems. Whether you are a student, a professional, or simply someone interested in the field of data science, this book is an essential resource for learning about the power and potential of big data and analytics.