Uncovering the structure of media multitasking and attention problems using network analytic techniques

Media multitasking has become nearly ubiquitous in the developed world. Higher self-reported media consistently been shown to relate attention problems, including symptoms of deficit/hyperactivity disorder (ADHD), but magnitude this relationship is small and heterogeneous across studies. These findings have motivated calls for increased specificity research, moving beyond aggregated summaries behavior favor an approach that considers how specific combinations behaviors cognitive outcomes interest. Herein, we take a data-driven (Jack et al., 2018), computational uncover network structure sample 2542 young adults United States. Results indicate those with greater severity ADHD tend more densely connected networks overall, as well differing patterns node centrality within network. results provide understanding individual differences habits cognition, point promise network-based analyses developing fuller topic domain.