This study investigates the natural scales of human mobility by analyzing geotagged data from Instagram. The researchers use community detection on movement networks constrained by increasing percentiles of distance distributions to identify phase transitions in community partitions. They find that human mobility data, though seemingly scale-free, contains a small number of meaningful, endogenous scales. These scales are defined by abrupt changes in community structure and correspond to distinct geographical patterns. The study covers nine regions, including cities, countries, and a transnational area, and reveals that each region has only 2 or 3 natural scales. These scales are not related to specific users but to scale-related behaviors. The natural scales allow for the definition of multi-scale geographical boundaries, which could be useful in fields like epidemiology and cultural contagion. The results show that geographical boundaries derived from these scales align with known administrative and linguistic divisions, such as the two linguistic communities in Belgium. The study also demonstrates that natural scales can be used to create multi-scale maps that provide richer insights into geographical patterns than traditional methods. The findings suggest that human mobility patterns are structured by a small number of endogenous scales, which can be used to define meaningful geographical boundaries. The research highlights the importance of considering scale in the analysis of human mobility and provides a method for identifying natural scales in geographical patterns.This study investigates the natural scales of human mobility by analyzing geotagged data from Instagram. The researchers use community detection on movement networks constrained by increasing percentiles of distance distributions to identify phase transitions in community partitions. They find that human mobility data, though seemingly scale-free, contains a small number of meaningful, endogenous scales. These scales are defined by abrupt changes in community structure and correspond to distinct geographical patterns. The study covers nine regions, including cities, countries, and a transnational area, and reveals that each region has only 2 or 3 natural scales. These scales are not related to specific users but to scale-related behaviors. The natural scales allow for the definition of multi-scale geographical boundaries, which could be useful in fields like epidemiology and cultural contagion. The results show that geographical boundaries derived from these scales align with known administrative and linguistic divisions, such as the two linguistic communities in Belgium. The study also demonstrates that natural scales can be used to create multi-scale maps that provide richer insights into geographical patterns than traditional methods. The findings suggest that human mobility patterns are structured by a small number of endogenous scales, which can be used to define meaningful geographical boundaries. The research highlights the importance of considering scale in the analysis of human mobility and provides a method for identifying natural scales in geographical patterns.