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: Social Network Data Analytics
  name:
    name part: Aggarwal, Charu C.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2011
    edition: 1.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 502 p. online resource.
  abstract: Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined for a variety of purposes. Social Network Data Analytics covers an important niche in the social network analytics field. This edited volume, contributed by prominent researchers in this field, presents a wide selection of topics on social network data mining such as Structural Properties of Social Networks, Algorithms for Structural Discovery of Social Networks and Content Analysis in Social Networks. This book is also unique in focussing on the data analytical aspects of social networks in the internet scenario, rather than the traditional sociology-driven emphasis prevalent in the existing books, which do not focus on the unique data-intensive characteristics of online social networks. Emphasis is placed on simplifying the content so that students and practitioners benefit from this book. This book targets advanced level students and researchers concentrating on computer science as a secondary text or reference book. Data mining, database, information security, electronic commerce and machine learning professionals will find this book a valuable asset, as well as primary associations such as ACM, IEEE and Management Science.
  table of contents: An Introduction to Social Network Data Analytics -- Statistical Properties of Social Networks -- RandomWalks in Social Networks and their Applications: A Survey -- Community Discovery in Social Networks: Applications, Methods and Emerging Trends -- Node Classification in Social Networks -- Evolution in Social Networks: A Survey -- A Survey of Models and Algorithms for Social Influence Analysis -- A Survey of Algorithms and Systems for Expert Location in Social Networks -- A Survey of Link Prediction in Social Networks -- Privacy in Social Networks: A Survey -- Visualizing Social Networks -- Data Mining in Social Media -- Text Mining in Social Networks -- Integrating Sensors and Social Networks -- Multimedia Information Networks in Social Media -- An Overview of Social Tagging and Applications.
  note: edited by Charu C. Aggarwal.
  subject:
    topic: Computer science
  subject:
    topic: Computer organization
  subject:
    topic: Database management
  subject:
    topic: Application software
  subject:
    topic: Management information systems
  subject:
    topic: Computer Science
  subject:
    topic: Information Systems Applications (incl. Internet)
  subject:
    topic: Database Management
  subject:
    topic: Management of Computing and Information Systems
  subject:
    topic: Computer Systems Organization and Communication Networks
  subject:
    topic: Computer Appl. in Social and Behavioral Sciences
  classification: QA76.76.A65
  classification: 005.7
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781441984623
  identifier: http://dx.doi.org/10.1007/978-1-4419-8462-3
  record info:
    record creation date: 110316
    record change date: 20151204185915.0
    record identifier: 978-1-4419-8462-3