Data from: Comparison of social structures within cities of very different sizes
People make a city, making each city as unique as the combination of its inhabitants. However, some cities are similar and some cities are inimitable. We examine the social structure of 10 different cities using Twitter data. Each city is decomposed to its communities. We show that in many cases one...
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Zusammenfassung: | People make a city, making each city as unique as the combination of its
inhabitants. However, some cities are similar and some cities are
inimitable. We examine the social structure of 10 different cities using
Twitter data. Each city is decomposed to its communities. We show that in
many cases one city can be thought of as an amalgamation of communities
from another city. For example, we find the social network of Manchester
is very similar to the social network of a virtual city of the same size,
where the virtual city is composed of communities from the Bristol
network. However, we cannot create Bristol from Manchester since Bristol
contains communities with a social structure that are not present in
Manchester. Some cities, such as Leeds, are outliers. That is, Leeds
contains a particularly wide range of communities, meaning we cannot build
a similar city from communities outside of Leeds. Comparing communities
from different cities, and building virtual cities that are comparable to
real cities, is a novel approach to understand social networks. This has
implications when using social media to inform or advise residents of a
city. |
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DOI: | 10.5061/dryad.2gf23 |