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As the complexity of the network system grows, the solution for the network model complicates further.
Probably the first one who have taken seriously the possibility of applying the methods of physics in describing social phenomena is the Belgian statistician Adolphe Quetelet [2], who stated that as the number of individuals or entities in the system grows, the individualities becomes less important and one can approach the system with models borrowed from physics.
Similar(58)
"As the pervasiveness, complexity, and scale of these systems grow, the lack of meaningful accountability and oversight – including basic safeguards of responsibility, liability, and due process – is an increasingly urgent concern".
However, as the benefits of such systems grow, the case for investment in these capabilities becomes increasingly powerful.
Through time, the system "grows" with the users, meaning that the system learns about their habits and needs, and the users adopt the system as a part of their daily life.
As the system grows, and the data it collects grows too, other products are likely to be introduced.
Starting from a small random network the system grows by the addition of new nodes with a fixed number of connections.
For a fixed a, the condition number of the matrix in the linear system grows exponentially as the number of data points is increased [21].
On the opposite if, the amount of interference in the system grows to and hence the system goes to an unstable state.
As understanding of the complex nature of the healthcare system grows [ 6, 7], the importance of system-level change is emerging [ 8].
The result of such effects of strigolactones is that the root system grows in preference to the shoot system.
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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