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: Mining human mobility in location-based social networks
  title info:
    title: Synthesis digital library of engineering and computer science
  name:
    name part: Gao, Huiji.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Liu, Huan
    name part: 1958-
    role:
      role term: author.
  type of resource: text
  genre: abstract or summary
  genre: Electronic books.
  origin info:
    place:
      place term: cau
    date issued: 2015
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (xvi, 99 pages) : illustrations.
  abstract: In recent years, there has been a rapid growth of location-based social networking services, such as Foursquare and Facebook Places, which have attracted an increasing number of users and greatly enriched their urban experience. Typical location-based social networking sites allow a user to "check in" at a real-world POI (point of interest, e.g., a hotel, restaurant, theater, etc.), leave tips toward the POI, and share the check-in with their online friends. The check-in action bridges the gap between real world and online social networks, resulting in a new type of social networks, namely location-based social networks (LBSNs). Compared to traditional GPS data, location-based social networks data contains unique properties with abundant heterogeneous information to reveal human mobility, i.e., "when and where a user (who) has been to for what," corresponding to an unprecedented opportunity to better understand human mobility from spatial, temporal, social, and content aspects. The mining and understanding of human mobility can further lead to effective approaches to improve current location-based services from mobile marketing to recommender systems, providing users more convenient life experience than before. This book takes a data mining perspective to offer an overview of studying human mobility in location-based social networks and illuminate a wide range of related computational tasks. It introduces basic concepts, elaborates associated challenges, reviews state-of-the-art algorithms with illustrative examples and real-world LBSN datasets, and discusses effective evaluation methods in mining human mobility. In particular, we illustrate unique characteristics and research opportunities of LBSN data, present representative tasks of mining human mobility on location-based social networks, including capturing user mobility patterns to understand when and where a user commonly goes (location prediction), and exploiting user preferences and location profiles to inve…
  table of contents: 1. Introduction -- 1.1 Human mobility behavior -- 1.1.1 Location, location, location -- 1.1.2 Inferring human lifestyles through locations -- 1.1.3 Mining human mobility with cellphone data -- 1.2 Location-based social networks -- 1.2.1 Location-based social networking services -- 1.2.2 Real world vs. virtual world -- 1.2.3 W4 information layout -- 1.3 Computational tasks -- 1.3.1 Research and application opportunities -- 1.3.2 Human mobility: repetitive vs. cold-start --
  table of contents: 2. Analyzing LBSN data -- 2.1 A check-in example -- 2.2 Structure of LBSN data -- 2.3 Data properties -- 2.3.1 Socio-spatial properties -- 2.3.2 Large-scale and sparse data -- 2.3.3 Semantic indication -- 2.4 Mobility patterns -- 2.4.1 Inverse distance rule -- 2.4.2 Lévy flight of check-ins -- 2.4.3 Power-law distribution and short-term effect -- 2.4.4 Temporal periodic patterns -- 2.4.5 Multi-center check-in distribution --
  table of contents: 3. Returning to visited locations -- 3.1 Next location prediction -- 3.1.1 Sequential patterns -- 3.1.2 Temporal dynamics -- 3.1.3 Social correlations -- 3.1.4 Hybrid models -- 3.2 Home location prediction -- 3.2.1 Content-based prediction -- 3.2.2 Network-based prediction -- 3.3 Evaluation metrics -- 3.4 Summary --
  table of contents: 4. Finding new locations to visit -- 4.1 Recommender systems -- 4.1.1 Check-in data representation -- 4.1.2 Memory-based collaborative filtering -- 4.1.3 Model-based collaborative filtering -- 4.2 Location recommendation with LBSNs -- 4.2.1 Geographical influence -- 4.2.2 Social correlations -- 4.2.3 Temporal patterns -- 4.2.4 Content indications -- 4.2.5 Hybrid models -- 4.3 Evaluation metrics -- 4.4 Summary --
  table of contents: 5. Epilogue -- 5.1 Location privacy -- 5.2 LBSN data sufficiency and reliability -- 5.3 Connecting "visited locations" and "new locations" -- 5.4 Future directions -- Bibliography -- Authors' biographies.
  target audience: specialized
  note: Huiji Gao, Huan Liu.
  note: Abstract freely available; full-text restricted to subscribers or individual document purchasers.
  note: Also available in print.
  note: Mode of access: World Wide Web.
  note: System requirements: Adobe Acrobat Reader.
  note: Includes bibliographical references (pages 87-98).
  subject:
    topic: Data mining
  subject:
    topic: Location-based services
  subject:
    topic: Online social networks
  subject:
    topic: Orientation
    topic: Data processing
  subject:
    topic: data mining
  subject:
    topic: human mobility
  subject:
    topic: location prediction
  subject:
    topic: location recommendation
  subject:
    topic: location-based social networks
  subject:
    topic: social media
  classification: TK5105.65 .G265 2015
  classification: 005.3
  related item:
    title info:
      title: Synthesis lectures on data mining and knowledge discovery ; # 11
  identifier: 9781627054133
  identifier: 9781627054126
  identifier: http://proxy.library.tamu.edu/login
  access condition: Abstract freely available; full-text restricted to subscribers or individual document purchasers.
  record info:
    record content source: CaBNVSL
    record creation date: 150520
    record change date: 20210728125144.0
    record identifier: in00003778514
    language of cataloging:
      language term: eng