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    Discovering the Social Interaction Patterns of Younger and Older Facebook Users

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    Date
    2012-12
    Author
    Quinn, Darren;
    Chen, Liming;
    Mulvenna, Maurice D.
    Metadata
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    Abstract
    Increased use of social networking applications has resulted in an explosion of user generated content; however the online interactions and differences in behaviour of younger and older users have not yet been fully explored. Traditionally, social network analysis has had a macro level focus, with little attention paid to individual behaviours. Interaction analysis is an emerging social behaviour analysis approach, investigating issues at a more micro level, providing an enriched capability to understand and contrast individual and group behaviour(s). In this study we test if age is a factor underlying the behaviour of users within Facebook. Data was gathered from 500 users, composed equally of younger and older users. To determine behavioural patterns, user data was analysed on a daily and weekly basis, detailing the day and hour of each user interaction. Results showed that distinct behavioural characteristics are identifiable between the cohorts, concluding age is a determining factor.
    Description
    Citation : Quinn D., Chen L., Mulvenna M. (2012) Discovering the Social Interaction Patterns of Younger and Older Facebook Users. In: Bravo J., Hervás R., Rodríguez M. (eds.) Ambient Assisted Living and Home Care. IWAAL 2012. Lecture Notes in Computer Science,7657. Berlin: Springer
    URI
    http://hdl.handle.net/2086/15338
    DOI
    https://doi.org/10.1007/978-3-642-35395-6_40
    ISBN : 9783642353949
    Research Group : CIIRG
    Research Institute : Cyber Technology Institute (CTI)
    Peer Reviewed : Yes
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    • School of Computer Science and Informatics [2987]

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