LEADER 03840nam 2200565 450 001 9910208951903321 005 20200520144314.0 010 $a1-118-84569-2 010 $a1-119-18366-9 010 $a1-322-77618-0 035 $a(CKB)3710000000475408 035 $a(Au-PeEL)EBL1895654 035 $a(CaPaEBR)ebr11011145 035 $a(OCoLC)902417360 035 $a(CaSebORM)9781118845875 035 $a(MiAaPQ)EBC1895654 035 $a(PPN)198592779 035 $a(EXLCZ)993710000000475408 100 $a20150207h20152015 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aGraph analysis and visualization $ediscovering business opportunity in linked data /$fRichard Brath, David Jonker 205 $a1st edition 210 1$aIndianapolis, Indiana :$cWiley,$d2015. 210 4$dİ2015 215 $a1 online resource (477 pages) $ccolor illustrations, maps 300 $aIncludes index. 311 $a1-118-84584-6 311 $a1-118-84587-0 327 $aWhy graphs? -- A graph for every problem -- Data : collect, clean, and connect -- Stats and layout -- Visual attributes -- Explore and explain -- Point-and-click graph tools -- Lightweight programming -- Relationships -- Hierarchies -- Communities -- Flows -- Spatial networks -- Big data -- Dynamic graphs -- Design. 330 $aWring more out of the data with a scientific approach to analysis Graph Analysis and Visualization 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. Science 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. Study graphical examples of networks using clear and insightful visualizations Analyze specifically-curated, easy-to-use data sets from various industries Learn the software tools and programming languages that extract insights from data Code examples using the popular Python programming language There 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, Graph Analysis and Visualization is a thorough, authoritative resource. 606 $aNetwork analysis (Planning) 606 $aGraph theory$xData processing 606 $aBusiness$xData processing 615 0$aNetwork analysis (Planning) 615 0$aGraph theory$xData processing. 615 0$aBusiness$xData processing. 676 $a658.4032 700 $aBrath$b Richard$0945110 702 $aJonker$b David 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910208951903321 996 $aGraph analysis and visualization$92133653 997 $aUNINA