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Fig. 3 Wards with at least 28 tweets per 1,000 inhabitants are considered tweet hotspots
counts per capita. Specifically, we consider wards with at least 28 tweets per 1,000
inhabitants as tweet hotspots.
Certainly, the identified hotspots are related to population density (Fig. 4 ). The
assumption is that Twitter usage increases with the number of inhabitants. For
example, Kulshrestha et al. ( 2012 ) found that as the population of a county
increases, the Twitter Representation Rate calculated by dividing the Twitter
users in a county by the number of people in that county increases as well. These
findings are also backed by the work of Abrol and Khan ( 2010 ). Tweet hotspots are
therefore often located in wards with lower population density values as in the case
of the central wards. However, there are a few exceptions to this rule as the ward of
Goresbrook in the very East of the study area (borough Barking and Dagenham )
and the ward of Colindale (borough Barnet ) in the North-West of the study area.
The tweets per capita map shows that the city centre and neighbouring wards
have the highest counts of Twitter messages (Fig. 3 ). The same result was reported
in the study conducted by Adnan and Longley ( 2013 ). The city centre and
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