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activity of the actor (a_i).
weight of the actor (a_i).
history of the actor (a_i).
personally identifiable information of the actor (a_i).
social status of the actor (a_i).
professional information of the actor (a_i).
Similar(48)
relation among the actors (a_i) and (a_j).
For every i such that (0 < i le n), the P-actors (A_i) is the set of all actors that joined the network until (s_i).
Also, if an actor (a_i) has name "Peter Allen" and an actor (a_j) has name "John Allen", then actors (a_i) and (a_j) have common sirname.
Neighbourhood of an actor can be easily seen from Fig. 2, where an actor (a_j) is at first neighbourhood of an actor (a_i), an actor (a_k) is at second neighbourhood, and so on.
Thus, the aggregated subgraph until P-slice i is described by the P-subgraph (G_i(A_i,E_i)), where (A_i) is the P-actors (A_i).
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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