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A related problem is the determination of the shortest path between two given nodes on an arbitrary graph.
A related problem is the determination of the shortest path between two given nodes.
The typical example is the problem of checking connectivity in a graph: given N nodes together with some connecting edges (e.g., a friendship graph or road network), check whether there's a path between two given nodes.
The new perspective is based on the well-known, but little exploited, relation between problem solving and the task of finding a path in a graph between two given nodes.
As a first step, we address the design of a single route, modeled as a path on a directed graph between two given nodes, maximizing a utility function related to the attractiveness of the path.
One is the existence of an edge between two given nodes.
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The result is a list of all shortest paths between the two given nodes.
For each of the 57 weekday-weekend pairs, we derived the weekday-specific per-timestep contact probability between any two given nodes based on the specific contact patterns seen in the weekday from that pair.
There may be multiple paths connecting two given nodes.
Here we are interested in a static problem where we are given nodes and edges, except for the edge between two nodes (A) and (B), and we must then predict whether there is an edge between (A) and (B).
The closeness centrality is the average distance between a given node and all other nodes of the network.
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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