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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Main Authors: P. Grindrod, T. E. Lee
Format: Article
Language:English
Published: The Royal Society 2016-01-01
Series:Royal Society Open Science
Subjects:
Online Access:https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.150526
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spelling 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
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