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  <titleInfo>
    <title>Advances in network complexity</title>
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  <name type="personal">
    <namePart>Dehmer, Matthias</namePart>
    <namePart type="date">1968-</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
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  <name type="personal">
    <namePart>Mowshowitz, Abbe</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Emmert-Streib, Frank</namePart>
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  <genre authority="">Electronic books.</genre>
  <genre authority="local">Electronic books.</genre>
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    <place>
      <placeTerm type="text">Weinheim, Germany</placeTerm>
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    <publisher>Wiley-Blackwell</publisher>
    <dateIssued>[2013]</dateIssued>
    <dateIssued encoding="marc">2013</dateIssued>
    <issuance>monographic</issuance>
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  <abstract>A well-balanced overview of mathematical approaches to describe complex systems, ranging from chemical reactions to gene regulation networks, from ecological systems to examples from social sciences. Matthias Dehmer and Abbe Mowshowitz, a well-known pioneer in the field, co-edit this volume and are careful to include not only classical but also non-classical approaches so as to ensure topicality. Overall, a valuable addition to the literature and a must-have for anyone dealing with complex systems.</abstract>
  <tableOfContents>1. Functional complexity based on topology -- 2. Connections between artificial intelligence and conputational complexity and the complexity of graphs -- 3. Selection-based estimates of complexity unravel some mechanisms and selective pressures underlying the evolution of complexity in artificial networks -- 4. Three types of network complexity pyramid -- 5. Computational complexity of graphs -- 6. The linear complexity of a graph -- 7. Kirchhoff's matrix-tree theorem revisited: counting spanning trees with the quantum relative entropy -- 8. Dimension measure for complex networks -- 9. Information-based complexity of networks -- 10. Thermodynamic depth in undirected and directed networks -- 11. Circumscribed complexity in ecological networks -- 12. Metros as biological systems complexity in small real-life networks.</tableOfContents>
  <note type="statement of responsibility">edited by Matthias Dehmer, Abbe Mowshowitz, and Frank Emmert-Streib.</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Computational biology</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Biomedical engineering</topic>
    <topic>Mathematical models</topic>
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    <topic>SCIENCE</topic>
    <topic>Life Sciences</topic>
    <topic>Biology</topic>
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    <topic>Biomedical engineering</topic>
    <topic>Mathematical models</topic>
  </subject>
  <subject authority="fast">
    <topic>Computational biology</topic>
  </subject>
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      <title>Quantitative and network biology ; v. 4</title>
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  <identifier type="isbn">9783527670475</identifier>
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  <identifier type="uri">http://onlinelibrary.wiley.com/book/10.1002/9783527670468</identifier>
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