  People's behavior on online social networks, which store geo-tagged
information showing where people were or are at the moment, can provide
information about their offline life as well. In this paper we present one
possible research direction that can be taken using Flickr dataset of publicly
available geo-tagged media objects (e.g., photographs, videos). Namely, our
focus is on investigating attractiveness of countries or smaller large-scale
composite regions (e.g., US states) for foreign visitors where attractiveness
is defined as the absolute number of media objects taken in a certain state or
country by its foreign visitors compared to its population size. We also
consider it together with attractiveness of the destination for the
international migration, measured through publicly available dataset provided
by United Nations. By having those two datasets, we are able to look at
attractiveness from two different perspectives: short-term and long-term one.
As our previous study showed that city attractiveness for Spanish cities
follows a superlinear trend, here we want to see if the same law is also
applicable to country/state (i.e., composite regions) attractiveness. Finally,
we provide one possible explanation for the obtained results.
