Discovering the Social Interaction Patterns of Younger and Older Facebook Users

Research output: Chapter in Book/Report/Conference proceedingChapter

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.
LanguageEnglish
Title of host publicationAmbient Assisted Living and Home Care
EditorsJ Bravo, R Hervás, M Rodríguez
Place of PublicationBerlin Heidelberg
Pages295-303
Volume7657
DOIs
Publication statusPublished - 2012

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Quinn, D., Chen, L., & Mulvenna, M. (2012). Discovering the Social Interaction Patterns of Younger and Older Facebook Users. In J. Bravo, R. Hervás, & M. Rodríguez (Eds.), Ambient Assisted Living and Home Care (Vol. 7657, pp. 295-303). Berlin Heidelberg. https://doi.org/10.1007/978-3-642-35395-6_40
Quinn, Darren ; Chen, Liming ; Mulvenna, Maurice. / Discovering the Social Interaction Patterns of Younger and Older Facebook Users. Ambient Assisted Living and Home Care. editor / J Bravo ; R Hervás ; M Rodríguez. Vol. 7657 Berlin Heidelberg, 2012. pp. 295-303
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Quinn, D, Chen, L & Mulvenna, M 2012, Discovering the Social Interaction Patterns of Younger and Older Facebook Users. in J Bravo, R Hervás & M Rodríguez (eds), Ambient Assisted Living and Home Care. vol. 7657, Berlin Heidelberg, pp. 295-303. https://doi.org/10.1007/978-3-642-35395-6_40

Discovering the Social Interaction Patterns of Younger and Older Facebook Users. / Quinn, Darren; Chen, Liming; Mulvenna, Maurice.

Ambient Assisted Living and Home Care. ed. / J Bravo; R Hervás; M Rodríguez. Vol. 7657 Berlin Heidelberg, 2012. p. 295-303.

Research output: Chapter in Book/Report/Conference proceedingChapter

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AB - 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.

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Quinn D, Chen L, Mulvenna M. Discovering the Social Interaction Patterns of Younger and Older Facebook Users. In Bravo J, Hervás R, Rodríguez M, editors, Ambient Assisted Living and Home Care. Vol. 7657. Berlin Heidelberg. 2012. p. 295-303 https://doi.org/10.1007/978-3-642-35395-6_40