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: Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining
  name:
    name part: Agarwal, Nitin.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Dokoohaki, Nima.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Tokdemir, Serpil.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 278 p. 46 illus., 28 illus. in color. online resource.
  abstract: The contributors in this book share, exchange, and develop new concepts, ideas, principles, and methodologies in order to advance and deepen our understanding of social networks in the new generation of Information and Communication Technologies (ICT) enabled by Web 2.0, also referred to as social media, to help policy-making. This interdisciplinary work provides a platform for researchers, practitioners, and graduate students from sociology, behavioral science, computer science, psychology, cultural studies, information systems, operations research and communication to share, exchange, learn, and develop new concepts, ideas, principles, and methodologies. Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining will be of interest to researchers, practitioners, and graduate students from the various disciplines listed above. The text facilitates the dissemination of investigations of the dynamics and structure of web based social networks. The book can be used as a reference text for advanced courses on Social Network Analysis, Sociology, Communication, Organization Theory, Cyber-anthropology, Cyber-diplomacy, and Information Technology and Justice.
  table of contents: Chapter1: Intent Mining for the Good, Bad & Ugly Use of Social Web: Concepts, Methods, and Challenges -- Chapter2: Bot-ivistm: Assessing Information Manipulation in Social Media Using Network Analytics -- Chapter3: Studying Fake News via Network Analysis: Detection and Mitigation -- Chapter4: Predictive Analysis on Twitter: Techniques and Applications -- Chapter5: Using Subgraph Distributions for Characterizing Networks and Fitting Random Graph Models -- Chapter6: Towards Effective Assessment of Group Collaborations in OSNs -- Chapter7: Dynamics of Overlapping Community Structures with Application to Expert Identification -- Chapter8: On Dynamic Topic Models for Mining Social Media -- Chapter9: Domain Specific Use Cases for Knowledge Enabled Social Media Analysis -- Chapter10: Privacy in Human Computation: User awareness study, Implications for existing platforms, Recommendations, and Research Directions.
  note: edited by Nitin Agarwal, Nima Dokoohaki, Serpil Tokdemir.
  subject:
    topic: Social sciences-Data processing
  subject:
    topic: Social sciences-Computer programs
  subject:
    topic: Data mining
  subject:
    topic: Sociophysics
  subject:
    topic: Econophysics
  subject:
    topic: Application software
  subject:
    topic: Computational Social Sciences
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: Data-driven Science, Modeling and Theory Building
  subject:
    topic: Computer Appl. in Social and Behavioral Sciences
  classification: H61.3
  classification: 300.00285
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Social Networks
  identifier: 9783319941059
  identifier: https://doi.org/10.1007/978-3-319-94105-9
  record info:
    record creation date: 180917
    record change date: 20191220131251.0
    record identifier: 978-3-319-94105-9