This enables us to control the communication intensity between users.
We combine this data with high-resolution mobile communication intensity data among different urban areas.
Therefore, the communication intensity between two areas can be attributed to their population [29, 30].
On the example of EARTH, this paper investigates the benefits of low-cost communication and multithreading, parallelizing three AI applications with medium to high communication intensity.
Then, they used communication intensity data to build the directional network of urban areas where the weights of the edges represent the communication strength between the areas.
We used the communication intensity data to build a directed network of urban areas whereby the weights of the edges indicate the strength of communication between the areas.
In b, we see that by switching from an open to a modular society the communication intensity from low- to low-status users is decreased.
Fig. 4 Heatmaps of the communication intensity in (a) low-to-high and (b) low-to-low social status classes of users for the StackExchange English dataset.
In [14], they collect the contact list and tried to analyze using several features such as communication intensity, regularity, medium, and temporal tendency.
To explain our results, we further investigated the communication intensity (i.e., the number of successful meetings) between the social classes we defined.
