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Online Social Networks

ebook

Online Social Networks: Human Cognitive Constraints in Facebook and Twitter provides new insights into the structural properties of personal online social networks and the mechanisms underpinning human online social behavior.

As the availability of digital communication data generated by social media is revolutionizing the field of social networks analysis, the text discusses the use of large- scale datasets to study the structural properties of online ego networks, to compare them with the properties of general human social networks, and to highlight additional properties.

Users will find the data collected and conclusions drawn useful during design or research service initiatives that involve online and mobile social network environments.

  • Provides an analysis of the structural properties of ego networks in online social networks
  • Presents quantitative evidence of the Dunbar's number in online environments
  • Discusses original structural and dynamic properties of human social network through OSN analysis

  • Expand title description text
    Series: Computer Science Reviews and Trends Publisher: Elsevier Science

    Kindle Book

    • Release date: September 25, 2015

    OverDrive Read

    • ISBN: 9780128030424
    • File size: 4023 KB
    • Release date: September 25, 2015

    EPUB ebook

    • ISBN: 9780128030424
    • File size: 4023 KB
    • Release date: September 25, 2015

    PDF ebook

    • ISBN: 9780128030424
    • File size: 4952 KB
    • Release date: September 25, 2015

    Formats

    Kindle Book
    OverDrive Read
    EPUB ebook
    PDF ebook

    Languages

    English

    Online Social Networks: Human Cognitive Constraints in Facebook and Twitter provides new insights into the structural properties of personal online social networks and the mechanisms underpinning human online social behavior.

    As the availability of digital communication data generated by social media is revolutionizing the field of social networks analysis, the text discusses the use of large- scale datasets to study the structural properties of online ego networks, to compare them with the properties of general human social networks, and to highlight additional properties.

    Users will find the data collected and conclusions drawn useful during design or research service initiatives that involve online and mobile social network environments.

  • Provides an analysis of the structural properties of ego networks in online social networks
  • Presents quantitative evidence of the Dunbar's number in online environments
  • Discusses original structural and dynamic properties of human social network through OSN analysis

  • Expand title description text