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  <titleInfo>
    <title>Networks</title>
    <subTitle>an introduction</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Newman, M. E. J. (Mark E. J.)</namePart>
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    <place>
      <placeTerm type="text">Oxford</placeTerm>
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    <place>
      <placeTerm type="text">New York</placeTerm>
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    <publisher>Oxford University Press</publisher>
    <dateIssued>2010</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xi, 772 p. : ill. (some col.) ; 26 cm.</extent>
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  <abstract>"The scientific study of networks, including computer networks, social networks, and biological networks, has received an enormous amount of interest in the last few years. The rise of the Internet and the wide availability of inexpensive computers have made it possible to gather and analyze network data on a large scale, and the development of a variety of new theoretical tools has allowed us to extract new knowledge from many different kinds of networks.  The study of networks is broadly interdisciplinary and important developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social sciences. This book brings together for the first time the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong interconnections between work in different areas.    Subjects covered include the measurement and structure of networks in many branches of science, methods for analyzing network data, including methods developed in physics, statistics, and sociology, the fundamentals of graph theory, computer algorithms, and spectral methods, mathematical models of networks, including random graph models and generative models, and theories of dynamical processes taking place on networks"--</abstract>
  <tableOfContents>Machine generated contents note: -- 1. Introduction -- 2. Technological Networks -- 3. Social Networks -- 4. Information Networks -- 5. Biological Networks -- 6. Mathematics of Networks -- 7. Measures and Metrics -- 8. The Large-scale Structure of Networks -- 9. Basic Concepts of Algorithms -- 10. Fundamental Network Algorithms -- 11. Matrix Algorithms and Graph Partitioning -- 12. Random Graphs -- 13. Generalized Random Graphs -- 14. Models of Network Formation -- 15. Other Network Models -- 16. Percolation and Network Resilience -- 17. Epidemics on Networks -- 18. Dynamical Systems on Networks -- 19. Network Search -- References -- Index.</tableOfContents>
  <note type="statement of responsibility">M.E.J. Newman.</note>
  <note>Includes bibliographical references (p. 727-739) and index.</note>
  <subject authority="lcsh">
    <topic>System analysis</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Network analysis (Planning)</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Systems biology</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Engineering systems</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Social systems</topic>
  </subject>
  <classification authority="lcc">T57.85 .N523 2010</classification>
  <classification authority="ddc" edition="22">003 N M N</classification>
  <identifier type="isbn">9780199206650 (acidfree paper)</identifier>
  <identifier type="isbn">0199206651 (acidfree paper)</identifier>
  <identifier type="lccn">2010006011</identifier>
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