In graphs that have negative cycles, the set of shortest simple paths from v to all other vertices do not necessarily form a tree.
For simple connected graphs, shortest-path trees can be used[1] to suggest a non-linear relationship between two network centrality measures, closeness and degree.
From this one deduces that the inverse of closeness, a length scale associated with each vertex, varies approximately linearly with the logarithm of degree.
The relationship is not exact but it captures a correlation between closeness and degree in large number of networks constructed from real data[1] and this success suggests that shortest-path trees can be a useful approximation in network analysis.
Wide Area Network Design: Concepts and Tools for Optimization.