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: Computational Social Network Analysis
    sub title: Trends, Tools and Research Advances
  name:
    name part: Abraham, Ajith.
    role:
      role term: editor.
  name:
    name part: Hassanien, Aboul-Ella.
    role:
      role term: editor.
  name:
    name part: Sná¿el, Vaclav.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxk
    date issued: 2010
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 485 p. 203 illus. online resource.
  abstract: Social networks provide a powerful abstraction of the structure and dynamics of diverse kinds of people or people-to-technology interaction. Web 2.0 has enabled a new generation of web-based communities, social networks, and folksonomies to facilitate collaboration among different communities. This unique text/reference compares and contrasts the ethological approach to social behavior in animals with web-based evidence of social interaction, perceptual learning, information granulation, the behavior of humans and affinities between web-based social networks. An international team of leading experts present the latest advances of various topics in intelligent-social-networks and illustrates how organizations can gain competitive advantages by applying the different emergent techniques in real-world scenarios. The work incorporates experience reports, survey articles, and intelligence techniques and theories with specific network technology problems. Topics and Features: Provides an overview social network tools, and explores methods for discovering key players in social networks, designing self-organizing search systems, and clustering blog sites Surveys techniques for exploratory analysis and text mining of social networks, approaches to tracking online community interaction, and examines how the topological features of a system affects the flow of information Reviews the models of network evolution, covering scientific co-citation networks, nature-inspired frameworks, latent social networks in e-Learning systems, and compound communities Examines the relationship between the intent of web pages, their architecture and the communities who take part in their usage and creation Discusses team selection based on members’ social context Presents social network applications, including music recommendation and face recognition in photographs Explores the use of social networks in web services that focus on the discovery stage in the life cycle of these web services This …
  table of contents: Social Network Mining Tools -- An Overview of Methods for Virtual Social Networks Analysis -- Discovering Sets of Key Players in Social Networks -- Toward Self-Organizing Search Systems -- DISSECT: Data-Intensive Socially Similar Evolving Community Tracker -- Clustering of Blog Sites Using Collective Wisdom -- Exploratory Analysis of the Social Network of Researchers in Inductive Logic Programming -- Information Flow in Systems of Interacting Agents as a Function of Local and Global Topological Features -- Social Network Evolution -- Network Evolution: Theory and Mechanisms -- Vmap-Layout, a Layout Algorithm for Drawing Scientograms -- Nature-Inspired Dissemination of Information in P2P Networks -- Analysis and Visualization of Relations in eLearning -- Interdisciplinary Matchmaking: Choosing Collaborators by Skill, Acquaintance and Trust -- Web Communities Defined by Web Page Content -- Extended Generalized Blockmodeling for Compound Communities and External Actors -- Analyzing Collaborations Through Content-Based Social Networks -- Social Network Applications -- IA-Regional-Radio – Social Network for Radio Recommendation -- On the Use of Social Networks in Web Services: Application to the Discovery Stage -- Friends with Faces: How Social Networks Can Enhance Face Recognition and Vice Versa.
  note: edited by Ajith Abraham, Aboul-Ella Hassanien, Vaclav Sná¿el.
  subject:
    topic: Computer science
  subject:
    topic: Computer communication systems
  subject:
    topic: Database management
  subject:
    topic: User interfaces (Computer systems)
  subject:
    topic: Computers and civilization
  subject:
    topic: Computer Science
  subject:
    topic: Computer Communication Networks
  subject:
    topic: Database Management
  subject:
    topic: User Interfaces and Human Computer Interaction
  subject:
    topic: Computers and Society
  classification: TK5105.5-5105.9
  classification: 004.6
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Computer Communications and Networks
  identifier: 9781848822290
  identifier: http://dx.doi.org/10.1007/978-1-84882-229-0
  record info:
    record creation date: 100301
    record change date: 20151030021602.0
    record identifier: 978-1-84882-229-0