Discovering the Social Interaction Patterns of Younger and Older Facebook Users

Date

2012-12

Advisors

Journal Title

Journal ISSN

ISSN

Volume Title

Publisher

Springer

Type

Book chapter

Peer reviewed

Yes

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

Keywords

Interaction Analysis, Social Networking, Online Interactions, Behavioural Patterns

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

Rights

Research Institute

Cyber Technology Institute (CTI)