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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Online Access: | https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.150526 |
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doaj-074f7ed33d7546c69b7688dd7dee03622020-11-25T04:10:32ZengThe Royal SocietyRoyal Society Open Science2054-57032016-01-013210.1098/rsos.150526150526Comparison of social structures within cities of very different sizesP. GrindrodT. E. LeePeople 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.https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.150526social networksmodularityscaling |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
P. Grindrod T. E. Lee |
spellingShingle |
P. Grindrod T. E. Lee Comparison of social structures within cities of very different sizes Royal Society Open Science social networks modularity scaling |
author_facet |
P. Grindrod T. E. Lee |
author_sort |
P. Grindrod |
title |
Comparison of social structures within cities of very different sizes |
title_short |
Comparison of social structures within cities of very different sizes |
title_full |
Comparison of social structures within cities of very different sizes |
title_fullStr |
Comparison of social structures within cities of very different sizes |
title_full_unstemmed |
Comparison of social structures within cities of very different sizes |
title_sort |
comparison of social structures within cities of very different sizes |
publisher |
The Royal Society |
series |
Royal Society Open Science |
issn |
2054-5703 |
publishDate |
2016-01-01 |
description |
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. |
topic |
social networks modularity scaling |
url |
https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.150526 |
work_keys_str_mv |
AT pgrindrod comparisonofsocialstructureswithincitiesofverydifferentsizes AT telee comparisonofsocialstructureswithincitiesofverydifferentsizes |
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