{"product_id":"graph-analysis-and-visualization-isbn-9781118845844","title":"Graph Analysis and Visualization","description":"\u003cb\u003eWring more out of the data with a scientific approach to analysis\u003c\/b\u003e  \u003cp\u003e\u003ci\u003eGraph Analysis and Visualization\u003c\/i\u003e brings graph theory out of the lab and into the real world. Using sophisticated methods and tools that span analysis functions, this guide shows you how to exploit graph and network analytic techniques to enable the discovery of new business insights and opportunities. Published in full color, the book describes the process of creating powerful visualizations using a rich and engaging set of examples from sports, finance, marketing, security, social media, and more. You will find practical guidance toward pattern identification and using various data sources, including Big Data, plus clear instruction on the use of software and programming. The companion website offers data sets, full code examples in Python, and links to all the tools covered in the book.\u003c\/p\u003e \u003cp\u003eScience has already reaped the benefit of network and graph theory, which has powered breakthroughs in physics, economics, genetics, and more. This book brings those proven techniques into the world of business, finance, strategy, and design, helping extract more information from data and better communicate the results to decision-makers.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eStudy graphical examples of networks using clear and insightful visualizations\u003c\/li\u003e \u003cli\u003eAnalyze specifically-curated, easy-to-use data sets from various industries\u003c\/li\u003e \u003cli\u003eLearn the software tools and programming languages that extract insights from data\u003c\/li\u003e \u003cli\u003eCode examples using the popular Python programming language\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThere is a tremendous body of scientific work on network and graph theory, but very little of it directly applies to analyst functions outside of the core sciences – until now. Written for those seeking empirically based, systematic analysis methods and powerful tools that apply outside the lab, \u003ci\u003eGraph Analysis and Visualization\u003c\/i\u003e is a thorough, authoritative resource.\u003c\/p\u003e \u003cp\u003eIntroduction xvii\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART 1 Overview\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 1 Why Graphs? 3\u003c\/p\u003e \u003cp\u003eChapter 2 A Graph for Every Problem 27\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART 2 Process and Tools\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 3 Data--Collect, Clean, and Connect 55\u003c\/p\u003e \u003cp\u003eChapter 4 Stats and Layout 87\u003c\/p\u003e \u003cp\u003eChapter 5 Visual Attributes 125\u003c\/p\u003e \u003cp\u003eChapter 6 Explore and Explain 157\u003c\/p\u003e \u003cp\u003eChapter 7 Point-and-Click Graph Tools 187\u003c\/p\u003e \u003cp\u003eChapter 8 Lightweight Programming 223\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART 3 Visual Analysis of Graphs\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 9 Relationships 275\u003c\/p\u003e \u003cp\u003eChapter 10 Hierarchies 293\u003c\/p\u003e \u003cp\u003eChapter 11 Communities 315\u003c\/p\u003e \u003cp\u003eChapter 12 Flows 351\u003c\/p\u003e \u003cp\u003eChapter 13 Spatial Networks 389\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART 4 Advanced Techniques\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 14 Big Data 419\u003c\/p\u003e \u003cp\u003eChapter 15 Dynamic Graphs 449\u003c\/p\u003e \u003cp\u003eChapter 16 Design 473\u003c\/p\u003e \u003cp\u003eGlossary 497\u003c\/p\u003e \u003cp\u003eIndex 501\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eRichard Brath\u003c\/b\u003e is actively involved in the research, design, and development of data visualization and visual analytics for both research and commercial applications for some of the world’s largest companies and top software vendors. His solutions range from rich, interactive visualizations for mobile devices, to large multi-touch, multi-screen installations and web-based analytical visualizations for business applications. \u003cb\u003eDavid Jonker\u003c\/b\u003e is a designer and developer of visualization platforms and applications for web-based, distributed, desktop, and mobile use. He created visualization products for NASDAQ MarketSite real-time broadcast in Times Square, and is currently a lead on the DARPA XDATA program, developing new tools and technologies for making sense of Big Data. Brath and Jonker are partners at a leading visual analytics firm. Between them they have presented at more than 30 industry conferences, and have published numerous articles and research papers.\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eConnect the dots in your business data to discover actionable insights\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eGraph Analysis and Visualization\u003c\/i\u003e brings graph and network theory out of the lab into the real world, with sophisticated methods and tools that apply to the worlds of business, finance, strategy, and design. Authors Richard Brath and David Jonker bring high-level expertise and a true analyst’s perspective to provide a handbook for exploiting graph and network analytic techniques that enable the discovery of new business insights and opportunities.\u003c\/p\u003e \u003cp\u003eThis informative, authoritative guide describes the process of creating powerful visualizations step-by-step, illustrated with engaging real-world examples from sports, finance, marketing, security, social media, and more. Detailed coverage includes examples of different software, tools, and programming languages that help you extract more information from the data, including Gephi, CytoScape, and D3.js, with sample Python and JavaScript code available for immediate download and use. You’ll learn how to take the data you have and perform network analysis, use the mathematical elements of graph theory to extract valuable insight, and use visual design techniques to better communicate the information to decision makers.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eWith detailed examples, sample data sets, code, and graphic tutorials, \u003ci\u003eGraph Analysis and Visualization\u003c\/i\u003e shows you how to:\u003c\/b\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eUse the appropriate type of graph for every problem\u003c\/li\u003e \u003cli\u003eCollect, clean, and organize data quickly, efficiently, and correctly\u003c\/li\u003e \u003cli\u003eFormat visualizations for high readability without sacrificing accuracy\u003c\/li\u003e \u003cli\u003eMaster the tools that allow deep data exploration and interpretation\u003c\/li\u003e \u003cli\u003eCreate custom visualizations with a little lightweight programming\u003c\/li\u003e \u003cli\u003eChoose effective graph analysis techniques to get the most out of your data\u003c\/li\u003e \u003cli\u003eUtilize advanced visualization techniques including dynamic graphs and Big Data tools and queries\u003c\/li\u003e \u003c\/ul\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989307441381,"sku":"NP9781118845844","price":50.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781118845844.jpg?v=1761783605","url":"https:\/\/k12savings.com\/products\/graph-analysis-and-visualization-isbn-9781118845844","provider":"K12savings","version":"1.0","type":"link"}