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: Influence and Behavior Analysis in Social Networks and Social Media
  name:
    name part: Kaya, Mehmet.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Alhajj, Reda.
    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: VI, 235 p. 96 illus., 84 illus. in color. online resource.
  abstract: This timely book focuses on influence and behavior analysis in the broader context of social network applications and social media. Twitter accounts of telecommunications companies are analyzed. Rumor sources in finite graphs with boundary effects by message-passing algorithms are identified. The coherent, state-of-the-art collection of chapters was initially selected based on solid reviews from the IEEE/ACM International Conference on Advances in Social Networks, Analysis, and Mining (ASONAM '17). Chapters were then improved and extended substantially, and the final versions were rigorously reviewed and revised to meet the series standards. Original chapters coming from outside of the meeting round out the coverage. The result will appeal to researchers and students working in social network and social media analysis.
  table of contents: Social network to improve the educational experience with the deployment of different learning models -- Temporal Model of the Online Customer Review Helpfulness Prediction with Regression Methods -- Traits of Leaders in Movement Initiation:Classification and Identification -- Emotional Valence Shifts and User Behavior on Twitter, Facebook, and YouTube -- Diffusion Algorithms in Multimedia Social Networks: a novel model -- Analyzing Twitter Accounts of Shaw Communications -- Editing Behavior Analysis for Predicting Active and Inactive Users in Wikipedia -- Incentivized Social Sharing: Characteristics and Optimization -- Rumor Source Detection in Finite Graphs with Boundary Effects by Message-passing Algorithms -- Robustness of Influence Maximization against Non-Adversarial Perturbations -- Analyzing Social Book Reading Behavior on Goodreads and how it predicts Amazon Best Sellers.
  note: edited by Mehmet Kaya, Reda Alhajj.
  subject:
    topic: Social sciences-Data processing
  subject:
    topic: Social sciences-Computer programs
  subject:
    topic: Application software
  subject:
    topic: Motivation research (Marketing)
  subject:
    topic: Social media
  subject:
    topic: Computational Social Sciences
  subject:
    topic: Computer Appl. in Social and Behavioral Sciences
  subject:
    topic: Consumer Behavior
  subject:
    topic: Social Media
  classification: H61.3
  classification: 300.00285
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Social Networks
  identifier: 9783030025922
  identifier: https://doi.org/10.1007/978-3-030-02592-2
  record info:
    record creation date: 181211
    record change date: 20191026082308.0
    record identifier: 978-3-030-02592-2