rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: 3rd International Winter School and Conference on Network Science
    sub title: NetSci-X 2017
  name:
    name part: Shmueli, Erez.
    role:
      role term: editor.
  name:
    name part: Barzel, Baruch.
    role:
      role term: editor.
  name:
    name part: Puzis, Rami.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VI, 130 p. 32 illus., 17 illus. in color. online resource.
  abstract: This book contains original research chapters related to the interdisciplinary field of complex networks spanning biological and environmental networks, social, technological, and economic networks. Many natural phenomena can be modeled as networks where nodes are the primitive compounds and links represent their interactions, similarities, or distances of sorts. Complex networks have an enormous impact on research in various fields like biology, social sciences, engineering, and cyber-security to name a few. The topology of a network often encompasses important information on the functionality and dynamics of the system or the phenomenon it represents. Network science is an emerging interdisciplinary discipline that provides tools and insights to researchers in a variety of domains. NetSci-X is the central winter conference within the field and brings together leading researchers and innovators to connect, meet, and establish interdisciplinary channels for collaboration. It is the largest and best known event in the area of network science. This text demonstrates how ideas formulated by authors with different backgrounds are transformed into models, methods, and algorithms that are used to study complex systems across different domains and will appeal to researchers and students within in the field. .
  table of contents: Chapter1. Node-Centric Detection of Overlapping Communities in Social Networks -- Chapter2. Community structures evaluation in complex networks: A descriptive approach -- Chapter3. Do Network Models Just Model Networks? On The Applicability of Network Oriented Modeling -- Chapter4. Visibility of nodes in network growth models -- Chapter5. Topology data analysis of critical transitions in financial networks -- Chapter6. Modeling and Analysis of Glass Ceiling and Power Inequality in Bi-populated Societies -- Chapter7. Elites in Social Networks: An Axiomatic Approach -- Chapter8. Ranking scientific papers on the basis of their citations growing trend -- Chapter9. Towards network economics: the problem of the network modus of value -- Chapter10. Open Questions in Multidimensional Multilevel Network Science. .
  note: edited by Erez Shmueli, Baruch Barzel, Rami Puzis.
  subject:
    topic: Physics
  subject:
    topic: Computer simulation
  subject:
    topic: Bioinformatics
  subject:
    topic: Physics
  subject:
    topic: Applications of Graph Theory and Complex Networks
  subject:
    topic: Simulation and Modeling
  subject:
    topic: Computational Social Sciences
  subject:
    topic: Data-driven Science, Modeling and Theory Building
  subject:
    topic: Computational Biology/Bioinformatics
  classification: QC1-QC999
  classification: 621
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Proceedings in Complexity
  identifier: 9783319554716
  identifier: http://dx.doi.org/10.1007/978-3-319-55471-6
  record info:
    record creation date: 170502
    record change date: 20170502145325.0
    record identifier: 978-3-319-55471-6