7 citations as recorded by crossref.

1. The assessment of Twitter discourse on the new COVID-19 variant, XBB.1.5, through social network analysis I. Yuda Kusuma et al. https://doi.org/10.1016/j.jvacx.2023.100322
2. The geography of housing boom and bust cycles D. Hong & D. Wójcik https://doi.org/10.1080/2833115X.2025.2558846
3. UNDERSTANDING URBAN MOBILITY FLOW: EXTRACTING MOBILITY PATTERN FROM AGGREGATED MOBILE PHONE LOCATION DATA A. NOVIANSYAH et al. https://doi.org/10.2208/journalofjsce.24-20059
4. Influence of tracking duration on the privacy of individual mobility graphs N. Wiedemann et al. https://doi.org/10.1080/17489725.2023.2239190
5. Navigating the asthma network on Twitter: Insights from social network and sentiment analysis H. Pratiwi et al. https://doi.org/10.1177/20552076231224075
6. Mapping the Detroit mobility ecosystem: A case study of a regional initiative centered on future mobility solutions M. Bonnett et al. https://doi.org/10.1016/j.urbmob.2025.100108
7. Activity graphs: Spatial graphs as a framework for quantifying individual mobility J. Long et al. https://doi.org/10.1007/s10109-023-00405-0