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Panels show the degree distribution of users and items in the users-item network, respectively, for both real and artificial networks.
Figure 5 Spatio-temporal distribution of users.
The result illustrates the distribution of users' SINR is optimized.
Below, we show a distribution of users based on how many photos they have uploaded.
In addition, we consider the effect of the position distribution of users.
Fig. 4 Geographic distribution of users commenting on the 114 Korean films in the study.
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The distribution of the user throughputs according to (27) is given in Figure 4. Figure 4 Distribution of user throughput in modified resource fair case.
The distribution of user activity is, as might be expected, heavy tailed, with a majority of users relatively inactive.
where denote the fading distribution of user who is placed uniformly at random in a cell given that.
On the local level we study the spatial distribution of user activity and identify the photographed hotspots inside each city.
This makes the resulting distribution of user degree similar to that in the real data (see Figure 2(a)).
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distribution of resources
distribution of providers
distribution of characteristics
distribution of stakeholders
distribution of researchers
distribution of drivers
distribution of households
distribution of participants
distribution of conditions
distribution of practitioners
breakdown of users
distribution of respondents
division of users
distribution of operations
distribution of effectiveness
proportion of users
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com