<?xml version="1.0" encoding="UTF-8"?>
<mods xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" version="3.1" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
  <titleInfo>
    <title>Graph analysis and visualization : discovering business opportunity in linked data</title>
  </titleInfo>
  <name type="personal">
    <namePart>Brath, Richard</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
    <role>
      <roleTerm type="text">author.</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Jonker, David</namePart>
    <role>
      <roleTerm type="text">author.</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="">Electronic books.</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">inu</placeTerm>
    </place>
    <dateIssued encoding="marc">2015</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="gmd">electronic resource</form>
    <extent>1 online resource (xxii, 513 pages)</extent>
  </physicalDescription>
  <abstract>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.--Provided by publisher.</abstract>
  <tableOfContents>Why 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.</tableOfContents>
  <note type="statement of responsibility">Richard Brath, David Jonker.</note>
  <note>Includes index.</note>
  <subject authority="lcsh">
    <topic>Network analysis (Planning)</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Graph theory</topic>
    <topic>Data processing</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Business</topic>
    <topic>Data processing</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>BUSINESS &amp; ECONOMICS</topic>
    <topic>Industrial Management</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>BUSINESS &amp; ECONOMICS</topic>
    <topic>Management</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>BUSINESS &amp; ECONOMICS</topic>
    <topic>Management Science</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>BUSINESS &amp; ECONOMICS</topic>
    <topic>Organizational Behavior</topic>
  </subject>
  <subject authority="fast">
    <topic>Business</topic>
    <topic>Data processing</topic>
  </subject>
  <subject authority="fast">
    <topic>Graph theory</topic>
    <topic>Data processing</topic>
  </subject>
  <subject authority="fast">
    <topic>Network analysis (Planning)</topic>
  </subject>
  <classification authority="lcc">T57.85</classification>
  <classification authority="ddc" edition="23">658.4032</classification>
  <relatedItem type="otherFormat" displayLabel="Print version:"/>
  <identifier type="isbn">9781118845875</identifier>
  <identifier type="isbn">1118845870</identifier>
  <identifier type="isbn">1118845692</identifier>
  <identifier type="isbn">9781118845691</identifier>
  <identifier type="isbn">1322776180</identifier>
  <identifier type="isbn">9781322776187</identifier>
  <identifier type="isbn">9781119183662</identifier>
  <identifier type="isbn">1119183669</identifier>
  <identifier type="isbn">1118845846</identifier>
  <identifier type="isbn">9781118845844</identifier>
  <identifier type="isbn" invalid="yes"/>
  <identifier type="stock number">B4025006-C3BE-4F9C-A1CC-38D4B44E4CA8 OverDrive, Inc.</identifier>
  <identifier type="uri">http://onlinelibrary.wiley.com/book/10.1002/9781119183662</identifier>
  <location>
    <url>http://onlinelibrary.wiley.com/book/10.1002/9781119183662</url>
  </location>
  <recordInfo>
    <recordContentSource authority="marcorg">UKMGB</recordContentSource>
    <recordCreationDate encoding="marc">141119</recordCreationDate>
    <recordChangeDate encoding="iso8601">20171025131246.0</recordChangeDate>
    <recordIdentifier source="OCoLC">ocn899704109</recordIdentifier>
    <languageOfCataloging>
      <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
    </languageOfCataloging>
  </recordInfo>
</mods>
