Discovering the Social Interaction Patterns of Younger and Older Facebook Users
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.
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
ISBN : 9783642353949
Research Group : CIIRG
Research Institute : Cyber Technology Institute (CTI)
Peer Reviewed : Yes