Weighted Temporal Edges #46

Activity

1. IngoScholtes

   self-assigned this

   on Mar 26, 2019
2. IngoScholtes

   added

   enhancementNew feature or requestNew feature or request

   on Mar 26, 2019
3. IngoScholtes commented on Mar 26, 2019

   

   IngoScholtes

   on Mar 26, 2019

   Contributor

   More actions

   Indeed, time-stamped edges currently don't have weights as it is not clear how the weight semantics should be included in the temporal path calculation.

   But we'll add an option for weighted edges, while ignoring them in the path calculation.

   👍React with 👍1Reacted by Dan Ellis
4. wolfiex commented on Mar 26, 2019

   

   wolfiex

   on Mar 26, 2019

   Author

   More actions

   How does the code currently deal with multiple identical edges of the same timestamp?
5. IngoScholtes commented on Mar 26, 2019

   

   IngoScholtes

   on Mar 26, 2019

   Contributor

   More actions

   Right now, multiple identical edges with the same time stamp will be stored as separate objects. If you create an aggregate static network from it, those multiple edges will be reflected in the edge weights.

   See e.g. in this example:

   import pathpy as pp
   t = pp.TemporalNetwork()
   t.add_edge('a', 'b', 1)
   t.add_edge('a', 'b', 1)
   n = pp.Network.from_temporal_network(t)
   print(n.edges[('a', 'b')])
   

   This gives the output: {'weight': 2.0}