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The recent COVID-19 pandemic has brought the debate around vaccinations to the forefront of public discussion. In this discussion, various social media platforms have a key role. While this has long been recognized, the way by which the public assigns attention to such topics remains largely unknown.

The recent COVID-19 pandemic has brought the debate around vaccinations to the forefront of public discussion. In this discussion, …

Analyses of urban spaces have often stressed the importance of both the density and diversity of the people they attract. However, the diversity of people is a challenging concept to operationalize within the context of urban spaces, which is why many evaluations of urban space have relied primarily on density-based measures.

Analyses of urban spaces have often stressed the importance of both the density and diversity of the people they attract. However, the …

The COVID-19 virus has caused and continues to cause unprecedented impacts on the life trajectories of millions of people globally. Recently, to combat the transmission of the virus, vaccination campaigns around the world have become prevalent.

The COVID-19 virus has caused and continues to cause unprecedented impacts on the life trajectories of millions of people globally. …

The COVID-19 virus has caused and continues to cause unprecedented impacts on the life trajectories of millions of people globally. …

Traditional approaches to human mobility analysis in Geography often rely on census or survey data that is resource-intensive to …

Traditional approaches to human mobility analysis in Geography often rely on census or survey data that is resource-intensive to collect and often has a limited spatio-temporal scope. The advent of new technologies (e.

Identifying meaningful locations, such as home or work, from human mobility data has become an increasingly common prerequisite for geographic research. Although location-based services (LBS) and other mobile technology have rapidly grown in recent years, it can be challenging to infer meaningful places from such data, which – compared to conventional datasets – can be devoid of context.