Download or read book Mastering Gephi Network Visualization written by Ken Cherven and published by Packt Publishing Ltd. This book was released on 2015-01-28 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended for anyone interested in advanced network analysis. If you wish to master the skills of analyzing and presenting network graphs effectively, then this is the book for you. No coding experience is required to use this book, although some familiarity with the Gephi user interface will be helpful.

Download or read book Gephi Cookbook written by Devangana Khokhar and published by Packt Publishing Ltd. This book was released on 2015-05-27 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you want to learn network analysis and visualization along with graph concepts from scratch, then this book is for you. This is ideal for those of you with little or no understanding of Gephi and this domain, but will also be beneficial for those interested in expanding their knowledge and experience.

Download or read book Mastering Parallel Programming with R written by Simon R. Chapple and published by Packt Publishing Ltd. This book was released on 2016-05-31 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the robust features of R parallel programming to accelerate your data science computations About This Book Create R programs that exploit the computational capability of your cloud platforms and computers to the fullest Become an expert in writing the most efficient and highest performance parallel algorithms in R Get to grips with the concept of parallelism to accelerate your existing R programs Who This Book Is For This book is for R programmers who want to step beyond its inherent single-threaded and restricted memory limitations and learn how to implement highly accelerated and scalable algorithms that are a necessity for the performant processing of Big Data. No previous knowledge of parallelism is required. This book also provides for the more advanced technical programmer seeking to go beyond high level parallel frameworks. What You Will Learn Create and structure efficient load-balanced parallel computation in R, using R's built-in parallel package Deploy and utilize cloud-based parallel infrastructure from R, including launching a distributed computation on Hadoop running on Amazon Web Services (AWS) Get accustomed to parallel efficiency, and apply simple techniques to benchmark, measure speed and target improvement in your own code Develop complex parallel processing algorithms with the standard Message Passing Interface (MPI) using RMPI, pbdMPI, and SPRINT packages Build and extend a parallel R package (SPRINT) with your own MPI-based routines Implement accelerated numerical functions in R utilizing the vector processing capability of your Graphics Processing Unit (GPU) with OpenCL Understand parallel programming pitfalls, such as deadlock and numerical instability, and the approaches to handle and avoid them Build a task farm master-worker, spatial grid, and hybrid parallel R programs In Detail R is one of the most popular programming languages used in data science. Applying R to big data and complex analytic tasks requires the harnessing of scalable compute resources. Mastering Parallel Programming with R presents a comprehensive and practical treatise on how to build highly scalable and efficient algorithms in R. It will teach you a variety of parallelization techniques, from simple use of R's built-in parallel package versions of lapply(), to high-level AWS cloud-based Hadoop and Apache Spark frameworks. It will also teach you low level scalable parallel programming using RMPI and pbdMPI for message passing, applicable to clusters and supercomputers, and how to exploit thousand-fold simple processor GPUs through ROpenCL. By the end of the book, you will understand the factors that influence parallel efficiency, including assessing code performance and implementing load balancing; pitfalls to avoid, including deadlock and numerical instability issues; how to structure your code and data for the most appropriate type of parallelism for your problem domain; and how to extract the maximum performance from your R code running on a variety of computer systems. Style and approach This book leads you chapter by chapter from the easy to more complex forms of parallelism. The author's insights are presented through clear practical examples applied to a range of different problems, with comprehensive reference information for each of the R packages employed. The book can be read from start to finish, or by dipping in chapter by chapter, as each chapter describes a specific parallel approach and technology, so can be read as a standalone.

Download or read book Complex Network Analysis in Python written by Dmitry Zinoviev and published by Pragmatic Bookshelf. This book was released on 2018-01-19 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: Construct, analyze, and visualize networks with networkx, a Python language module. Network analysis is a powerful tool you can apply to a multitude of datasets and situations. Discover how to work with all kinds of networks, including social, product, temporal, spatial, and semantic networks. Convert almost any real-world data into a complex network--such as recommendations on co-using cosmetic products, muddy hedge fund connections, and online friendships. Analyze and visualize the network, and make business decisions based on your analysis. If you're a curious Python programmer, a data scientist, or a CNA specialist interested in mechanizing mundane tasks, you'll increase your productivity exponentially. Complex network analysis used to be done by hand or with non-programmable network analysis tools, but not anymore! You can now automate and program these tasks in Python. Complex networks are collections of connected items, words, concepts, or people. By exploring their structure and individual elements, we can learn about their meaning, evolution, and resilience. Starting with simple networks, convert real-life and synthetic network graphs into networkx data structures. Look at more sophisticated networks and learn more powerful machinery to handle centrality calculation, blockmodeling, and clique and community detection. Get familiar with presentation-quality network visualization tools, both programmable and interactive--such as Gephi, a CNA explorer. Adapt the patterns from the case studies to your problems. Explore big networks with NetworKit, a high-performance networkx substitute. Each part in the book gives you an overview of a class of networks, includes a practical study of networkx functions and techniques, and concludes with case studies from various fields, including social networking, anthropology, marketing, and sports analytics. Combine your CNA and Python programming skills to become a better network analyst, a more accomplished data scientist, and a more versatile programmer. What You Need: You will need a Python 3.x installation with the following additional modules: Pandas (>=0.18), NumPy (>=1.10), matplotlib (>=1.5), networkx (>=1.11), python-louvain (>=0.5), NetworKit (>=3.6), and generalizesimilarity. We recommend using the Anaconda distribution that comes with all these modules, except for python-louvain, NetworKit, and generalizedsimilarity, and works on all major modern operating systems.

Download or read book Visualizing History s Fragments written by Ashley R. Sanders and published by Springer Nature. This book was released on with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Decision Making in Systems Engineering and Management written by Patrick J. Driscoll and published by John Wiley & Sons. This book was released on 2022-10-25 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: DECISION MAKING IN SYSTEMS ENGINEERING AND MANAGEMENT A thoroughly updated overview of systems engineering management and decision making In the newly revised third edition of Decision Making in Systems Engineering and Management, the authors deliver a comprehensive and authoritative overview of the systems decision process, systems thinking, and qualitative and quantitative multi-criteria value modeling directly supporting decision making throughout the system lifecycle. This book offers readers major new updates that cover recently developed system modeling and analysis techniques and quantitative and qualitative approaches in the field, including effective techniques for addressing uncertainty. In addition to Excel, six new open-source software applications have been added to illustrate key topics, including SIPmath Modeler Tools, Cambridge Advanced Modeller, SystemiTool2.0, and Gephi 0.9.2. The authors have reshaped the book’s organization and presentation to better support educators engaged in remote learning. New appendices have been added to present extensions for a new realization analysis technique and getting started steps for each of the major software applications. Updated illustrative examples support modern system decision making skills and highlight applications in hardware, organizations, policy, logistic supply chains, and architecture. Readers will also find: Thorough introductions to working with systems, the systems engineering perspective, and systems thinking In-depth presentations of applied systems thinking, including holism, element dependencies, expansive and contractive thinking, and concepts of structure, classification, and boundaries Comprehensive explorations of system representations leading to analysis In-depth discussions of supporting system decisions, including the system decision process (SDP), tradespace methods, multi-criteria value modeling, working with stakeholders, and the system environment Perfect for undergraduate and graduate students studying systems engineering and systems engineering management, Decision Making in Systems Engineering and Management will also earn a place in the libraries of practicing system engineers and researchers with an interest in the topic.

Download or read book Eurasian Business and Economics Perspectives written by Mehmet Hüseyin Bilgin and published by Springer Nature. This book was released on 2023-10-13 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: EBES conferences have been an intellectual hub for academic discussion in economics, finance, and business fields and provide network opportunities for participants to make long-lasting academic cooperation. This is the 26th volume of the Eurasian Studies in Business and Economics (EBES’s official proceeding series), which includes selected papers from the 38th EBES Conference which took place in Warsaw. The conference was organized in hybrid mode with both online and in-person presentations at the Faculty of Economics Sciences, the University of Warsaw in Warsaw, Poland, on January 12-14, 2022. At the conference, 197 papers by 439 colleagues from 50 countries were presented. Both theoretical and empirical papers in this volume cover diverse areas of business, economics, and finance from many different regions.

Download or read book Zoomland written by Florentina Armaselu and published by Walter de Gruyter GmbH & Co KG. This book was released on 2023-12-31 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite a variety of theoretical and practical undertakings, there is no coherent understanding of the concept of scale in digital history and humanities, and its potential is largely unexplored. A clearer picture of the whole spectrum is needed, from large to small, distant to close, global to local, general to specific, macro to micro, and the in-between levels. The book addresses these issues and sketches out the territory of Zoomland, at scale. Four regions and sixteen chapters are conceptually and symbolically depicted through three perspectives: bird's eye, overhead, and ground view. The variable-scale representation allows for exploratory paths covering areas such as: theoretical and applicative reflections on scale combining a digital dimension with research in history, media studies, cultural heritage, literature, text analysis, and map modelling; creative use of scale in new digital forms of analysis, data organisation, interfaces, and argumentative or artistic expressions. Zoomland provides a systematic discussion on the epistemological dimensions, hermeneutic methods, empirical tools, and aesthetic logic pertaining to scale and its innovative possibilities residing in humanities-based approaches and digital technologies.

Download or read book Contemporary Research Methods in Pharmacy and Health Services written by Shane P. Desselle and published by Academic Press. This book was released on 2022-05-10 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emerging methods, as well as best practices in well-used methods, in pharmacy are of great benefit to researchers, graduate students, graduate programs, residents and fellows also in other health science areas. Researchers require a text to assist in the design of experiments to address seemingly age-old problems. New interventions are needed to improve medication adherence, patients’ lived experiences in health care, provider-patient relationships, and even various facets of pharmacogenomics. Advances in systems re-engineering can optimize health care practitioners’ roles. Contemporary Research Methods in Pharmacy and Health Services includes multi-authored chapters by renowned experts in their field. Chapters cover examples in pharmacy, health services and others transcendent of medical care, following a standardized format, including key research points; valid and invalid assumptions; pitfalls to avoid; applications; and further inquiry. This is a valuable resource for researchers both in academia and corporate R&D, primarily in pharmacy but also in health services, and other health disciplines. Social science researchers and government scientists can also benefit from the reading. Provides multi-authored chapters by renowned experts in their field Includes examples for pharmacy and health services and others that are transcendent of medical care Covers key research points, valid and invalid assumptions, pitfalls to avoid, applications, and further inquiry

Download or read book Network Science In Education written by Catherine B. Cramer and published by Springer. This book was released on 2018-10-22 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: Around the globe, there is an increasingly urgent need to provide opportunities for learners to embrace complexity; to develop the many skills and habits of mind that are relevant to today's complex and interconnected world; and to make learning more connected to our rapidly changing workplace and society. This presents an opportunity to (1) leverage new paradigms for understanding the structure and function of teaching and learning communities, and (2) to promote new approaches to developing methods, curricular materials, and resources. Network science - the study of connectivity - can play an important role in these activities, both as an important subject in teaching and learning and as a way to develop interconnected curricula. Since 2010, an international community of network science researchers and educators has come together to raise the global level of network literacy by applying ideas from network science to teaching and learning. Network Science in Education - which refers to both this community and to its activities - has evolved in response to the escalating activity in the field of network science and the need for people to be able to access the field through education channels. Network Science In Education: Transformational Approaches in Teaching and Learning appeals to both instructors and professionals, while offering case studies from a wide variety of activities that have been developed around the globe: the creation of entirely new courses and degree programs; tools for K-20 learners, teachers, and the general public; and in-depth analysis of selected programs. As network-based pedagogy and the community of practice continues to grow, we hope that the book's readers will join this vibrant network education community to build on these nascent ideas and help deepen the understanding of networks for all learners.

Download or read book Patent Analytics written by Jieun Kim and published by Springer Nature. This book was released on 2021-07-06 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: Through the prisms of a data scientist, a patent attorney, and a designer, this book demystifies the complexity of patent data and its structure and reveals their hidden connections by employing elaborate data analytics and visualizations using a network map. This book provides a practical guide to introduce and apply patent network analytics and visualization tools in your business. We incorporate case studies from renowned companies such as Apple, Dyson, Adobe, Bose, Samsung and more, to scrutinise how their underlying values of patent network drive innovation in their business. Finally, this book advances readers’ perspective of patent gazettes as big data and as a tool for innovation analytics when coupled with Artificial Intelligence.

Download or read book Mining goes Digital written by Christoph Mueller and published by CRC Press. This book was released on 2019-05-22 with total page 782 pages. Available in PDF, EPUB and Kindle. Book excerpt: The conferences on ‘Applications for Computers and Operations Research in the Minerals Industry’ (APCOM) initially focused on the optimization of geostatistics and resource estimation. Several standard methods used in these fields were presented in the early days of APCOM. While geostatistics remains an important part, information technology has emerged, and nowadays APCOM not only focuses on geostatistics and resource estimation, but has broadened its horizon to Information and Communication Technology (ICT) in the mineral industry. Mining Goes Digital is a collection of 90 high quality, peer reviewed papers covering recent ICT-related developments in: - Geostatistics and Resource Estimation - Mine Planning - Scheduling and Dispatch - Mine Safety and Mine Operation - Internet of Things, Robotics - Emerging Technologies - Synergies from other industries - General aspects of Digital Transformation in Mining Mining Goes Digital will be of interest to professionals and academics involved or interested in the above-mentioned areas.

Download or read book The Tableau Workshop written by Sumit Gupta and published by Packt Publishing Ltd. This book was released on 2022-04-28 with total page 823 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to bring your data to life with this hands-on guide to visual analytics with Tableau Key FeaturesMaster the fundamentals of Tableau Desktop and Tableau PrepLearn how to explore, analyze, and present data to provide business insightsBuild your experience and confidence with hands-on exercises and activitiesBook Description Learning Tableau has never been easier, thanks to this practical introduction to storytelling with data. The Tableau Workshop breaks down the analytical process into five steps: data preparation, data exploration, data analysis, interactivity, and distribution of dashboards. Each stage is addressed with a clear walkthrough of the key tools and techniques you'll need, as well as engaging real-world examples, meaningful data, and practical exercises to give you valuable hands-on experience. As you work through the book, you'll learn Tableau step by step, studying how to clean, shape, and combine data, as well as how to choose the most suitable charts for any given scenario. You'll load data from various sources and formats, perform data engineering to create new data that delivers deeper insights, and create interactive dashboards that engage end-users. All concepts are introduced with clear, simple explanations and demonstrated through realistic example scenarios. You'll simulate real-world data science projects with use cases such as traffic violations, urban populations, coffee store sales, and air travel delays. By the end of this Tableau book, you'll have the skills and knowledge to confidently present analytical results and make data-driven decisions. What you will learnBecome an effective user of Tableau Prep and Tableau DesktopLoad, combine, and process data for analysis and visualizationUnderstand different types of charts and when to use themPerform calculations to engineer new data and unlock hidden insightsAdd interactivity to your visualizations to make them more engagingCreate holistic dashboards that are detailed and user-friendlyWho this book is for This book is for anyone who wants to get started on visual analytics with Tableau. If you're new to Tableau, this Workshop will get you up and running. If you already have some experience in Tableau, this book will help fill in any gaps, consolidate your understanding, and give you extra practice of key tools.

Download or read book Mastering Data Visualisation written by Cybellium Ltd and published by Cybellium Ltd. This book was released on with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: Communicate Insights Through Compelling Visuals Are you prepared to transform your data into compelling visual stories? "Mastering Data Visualization" is your ultimate guide to unlocking the power of data visualization for effective communication of insights. Whether you're a data analyst aiming to convey findings or a business leader seeking to make data-driven decisions, this book equips you with the knowledge and techniques to master the art of data visualization. Key Features: 1. Dive into Data Visualization: Immerse yourself in the world of data visualization, understanding its significance, principles, and applications. Build a solid foundation that empowers you to convey complex information through captivating visuals. 2. Data Exploration and Preparation: Master the art of data exploration and preparation for visualization. Learn how to clean, transform, and structure data to ensure accuracy in your visual representations. 3. Visual Design Principles: Delve into visual design principles for effective communication. Explore color theory, typography, and layout techniques that enhance the clarity and impact of your visuals. 4. Charts and Graphs: Uncover a range of charts and graphs for different data types. Learn how to choose the right visualization type, from bar charts to scatter plots, to convey specific insights. 5. Interactive Visualizations: Discover the power of interactive visualizations. Learn how to create dynamic and engaging visuals that allow users to explore data on their terms. 6. Geospatial and Network Visualizations: Master geospatial and network visualizations. Explore techniques for mapping spatial data and representing relationships in complex networks. 7. Storytelling with Data: Explore the art of storytelling with data. Learn how to structure your visual narrative, build a compelling story arc, and guide viewers through your insights. 8. Visualization Tools and Software: Uncover a range of visualization tools and software. Learn how to use popular tools to create stunning visualizations and infographics. 9. Data Visualization Best Practices: Delve into best practices for creating effective data visualizations. Learn how to avoid common pitfalls, ensure accessibility, and tailor visuals to your audience. 10. Real-World Applications: Gain insights into real-world use cases of data visualization across industries. From business reports to interactive dashboards, discover how organizations leverage data visualization for impactful communication. Who This Book Is For: "Mastering Data Visualization" is an essential resource for data analysts, designers, and business professionals aiming to excel in conveying insights through visual storytelling. Whether you're enhancing your technical skills or transforming data into actionable insights, this book will guide you through the intricacies and empower you to harness the full potential of data visualization. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

Download or read book Digital Islamophobia written by Emily Lynell Edwards and published by Walter de Gruyter GmbH & Co KG. This book was released on 2023-10-23 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rise of far-right communities on digital platforms is a global crisis. Digital Islamophobia tracks far-right groups where they are a virtual and vicious threat, exploring how these networks grow, develop, and circulate Islamophobic hate-speech on Twitter. Reconstructing this media ecosystem, Digital Islamophobia traces the reactionary political ideologies animating these groups through feminist data analytic techniques in a transnational study of German and American far-right, digitally networked users. This work illustrates far-right communities using data visualization techniques, identifies a taxonomy of user-types, analyzes themes and stories that motivate far-right users, and tracks the spread of linked forms of anti-Muslim sentiment, reactionary ideologies, and (mis)information. In doing so, Digital Islamophobia details how far-right discourse is not merely national, or even transatlantic, but increasingly transnationalized among American, German, as well as Indian and Nigerian digital networks. By tracking and tracing the contours of these far-right digital communities on Twitter and analyzing the content of their conversations, Digital Islamophobia provides policy-makers, researchers, and scholars with a potential road-map to stop them.

Download or read book Mastering Large Datasets with Python written by John Wolohan and published by Simon and Schuster. This book was released on 2020-01-15 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Modern data science solutions need to be clean, easy to read, and scalable. In Mastering Large Datasets with Python, author J.T. Wolohan teaches you how to take a small project and scale it up using a functionally influenced approach to Python coding. You’ll explore methods and built-in Python tools that lend themselves to clarity and scalability, like the high-performing parallelism method, as well as distributed technologies that allow for high data throughput. The abundant hands-on exercises in this practical tutorial will lock in these essential skills for any large-scale data science project. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Programming techniques that work well on laptop-sized data can slow to a crawl—or fail altogether—when applied to massive files or distributed datasets. By mastering the powerful map and reduce paradigm, along with the Python-based tools that support it, you can write data-centric applications that scale efficiently without requiring codebase rewrites as your requirements change. About the book Mastering Large Datasets with Python teaches you to write code that can handle datasets of any size. You’ll start with laptop-sized datasets that teach you to parallelize data analysis by breaking large tasks into smaller ones that can run simultaneously. You’ll then scale those same programs to industrial-sized datasets on a cluster of cloud servers. With the map and reduce paradigm firmly in place, you’ll explore tools like Hadoop and PySpark to efficiently process massive distributed datasets, speed up decision-making with machine learning, and simplify your data storage with AWS S3. What's inside An introduction to the map and reduce paradigm Parallelization with the multiprocessing module and pathos framework Hadoop and Spark for distributed computing Running AWS jobs to process large datasets About the reader For Python programmers who need to work faster with more data. About the author J. T. Wolohan is a lead data scientist at Booz Allen Hamilton, and a PhD researcher at Indiana University, Bloomington. Table of Contents: PART 1 1 ¦ Introduction 2 ¦ Accelerating large dataset work: Map and parallel computing 3 ¦ Function pipelines for mapping complex transformations 4 ¦ Processing large datasets with lazy workflows 5 ¦ Accumulation operations with reduce 6 ¦ Speeding up map and reduce with advanced parallelization PART 2 7 ¦ Processing truly big datasets with Hadoop and Spark 8 ¦ Best practices for large data with Apache Streaming and mrjob 9 ¦ PageRank with map and reduce in PySpark 10 ¦ Faster decision-making with machine learning and PySpark PART 3 11 ¦ Large datasets in the cloud with Amazon Web Services and S3 12 ¦ MapReduce in the cloud with Amazon’s Elastic MapReduce

Download or read book Networks in the Global World V written by Artem Antonyuk and published by Springer Nature. This book was released on 2021-02-19 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings book presents state-of-the-art developments in theory, methodology, and applications of network analysis across sociology, computational science, education research, literature studies, political science, international relations, social media research, and urban studies. The papers comprising this collection were presented at the Fifth ‘Networks in the Global World’ conference organized by the Centre for German and European Studies of St. Petersburg University and Bielefeld University and held on July 7–9, 2020. This biannual conference series revolves around key interdisciplinary issues in the focus of network analysts, such as the multidimensional approach to social reality, translation of theories and methods across disciplines, and mixing of data and methods. The distinctive features of this book are the emphasis on in-depth linkages between theory, method, and applications, the blend of qualitative and quantitative methods, and the joint consideration of different network levels, types, and contexts. The topics covered by the papers include interrelation of social and cultural structures, constellations of power, and patterns of interaction in areas ranging from various types of communities (local, international, educational, political, and so on) to social media and literature. The book is useful for practicing researchers, graduate and postgraduate students, and educators interested in network analysis of social relations, politics, economy, and culture. Features that set the book apart from others in the field: · The book offers a unique cross-disciplinary blend of computational and ethnographic network analyses applied to a diverse spectrum of spheres, from literature and education to urban planning and policymaking. · Embracing conceptual, methodological, and empirical works, the book is among the few in network analysis to emphasize connections between theory, method, and applications. · The book brings together authors and empirical contexts from all over the globe, with a particular emphasis on European societies.