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networkx shortest path error


How to visualize shortest path that is calculated using Networkx?Shortest Path Analysis - FMENetworkX: Saving Shortest path of OpenStreetMap data as an OGR friendly formatShortest path calculation from shapefile data using GeoTools?How to connect nodes via shortest path along network lines with GRASS v.net modules?Create MultiDiGraph from Shapefile using NetworkxCalculation of fastest path with in network analysis by qgis 3.0Yen's or Eppstein for path with intermediate destinations which are dangling nodesNetworkX - Indexed Spatial node queries?Shortest path between one point to every other points






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1















I am trying to implement single_source_dijkstra_path algorithm of the networkx to define the shortest path from a node to all nodes in the network. There are six sources in total, and I want to measure which one of the six nodes has the shortest path to a target node (e.g from node 1 - 6, which node has the shortest distance to node 30). While it works, I think some of the result didn't show the shortest path.



figure 1



for example, the picture above shows the shortest path to AS Calau, which is to be from Stralsund with 353.3 km. However, with only a gap of a node with a distance of 10 km, the shortest path changes as follow:



figure 2



From Calau to Bronkow is only 10 km and my network is proven to be all connected (len(list(nx.connected_components)) = 1 ). In Figure 2, it can be seen that the shortest path is no longer from Stralsund but from Rostock Oberseehafen, and the shortest distance is then 641 km. Further analysis also shown that from Stralsund to Bronkow needs to undergo similar path with figure 2, thus resulting in a longer distance.



Does anybody know what I might be doing wrong in this case or does anyone have any explanation for this?










share|improve this question



















  • 1





    Everything is connected but not where you think it is. There are missing nodes in your network.

    – FelixIP
    Apr 1 at 18:21


















1















I am trying to implement single_source_dijkstra_path algorithm of the networkx to define the shortest path from a node to all nodes in the network. There are six sources in total, and I want to measure which one of the six nodes has the shortest path to a target node (e.g from node 1 - 6, which node has the shortest distance to node 30). While it works, I think some of the result didn't show the shortest path.



figure 1



for example, the picture above shows the shortest path to AS Calau, which is to be from Stralsund with 353.3 km. However, with only a gap of a node with a distance of 10 km, the shortest path changes as follow:



figure 2



From Calau to Bronkow is only 10 km and my network is proven to be all connected (len(list(nx.connected_components)) = 1 ). In Figure 2, it can be seen that the shortest path is no longer from Stralsund but from Rostock Oberseehafen, and the shortest distance is then 641 km. Further analysis also shown that from Stralsund to Bronkow needs to undergo similar path with figure 2, thus resulting in a longer distance.



Does anybody know what I might be doing wrong in this case or does anyone have any explanation for this?










share|improve this question



















  • 1





    Everything is connected but not where you think it is. There are missing nodes in your network.

    – FelixIP
    Apr 1 at 18:21














1












1








1








I am trying to implement single_source_dijkstra_path algorithm of the networkx to define the shortest path from a node to all nodes in the network. There are six sources in total, and I want to measure which one of the six nodes has the shortest path to a target node (e.g from node 1 - 6, which node has the shortest distance to node 30). While it works, I think some of the result didn't show the shortest path.



figure 1



for example, the picture above shows the shortest path to AS Calau, which is to be from Stralsund with 353.3 km. However, with only a gap of a node with a distance of 10 km, the shortest path changes as follow:



figure 2



From Calau to Bronkow is only 10 km and my network is proven to be all connected (len(list(nx.connected_components)) = 1 ). In Figure 2, it can be seen that the shortest path is no longer from Stralsund but from Rostock Oberseehafen, and the shortest distance is then 641 km. Further analysis also shown that from Stralsund to Bronkow needs to undergo similar path with figure 2, thus resulting in a longer distance.



Does anybody know what I might be doing wrong in this case or does anyone have any explanation for this?










share|improve this question
















I am trying to implement single_source_dijkstra_path algorithm of the networkx to define the shortest path from a node to all nodes in the network. There are six sources in total, and I want to measure which one of the six nodes has the shortest path to a target node (e.g from node 1 - 6, which node has the shortest distance to node 30). While it works, I think some of the result didn't show the shortest path.



figure 1



for example, the picture above shows the shortest path to AS Calau, which is to be from Stralsund with 353.3 km. However, with only a gap of a node with a distance of 10 km, the shortest path changes as follow:



figure 2



From Calau to Bronkow is only 10 km and my network is proven to be all connected (len(list(nx.connected_components)) = 1 ). In Figure 2, it can be seen that the shortest path is no longer from Stralsund but from Rostock Oberseehafen, and the shortest distance is then 641 km. Further analysis also shown that from Stralsund to Bronkow needs to undergo similar path with figure 2, thus resulting in a longer distance.



Does anybody know what I might be doing wrong in this case or does anyone have any explanation for this?







shortest-path networkx






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edited Apr 1 at 18:46









PolyGeo

53.9k1781245




53.9k1781245










asked Apr 1 at 16:23









botibobotibo

436




436







  • 1





    Everything is connected but not where you think it is. There are missing nodes in your network.

    – FelixIP
    Apr 1 at 18:21













  • 1





    Everything is connected but not where you think it is. There are missing nodes in your network.

    – FelixIP
    Apr 1 at 18:21








1




1





Everything is connected but not where you think it is. There are missing nodes in your network.

– FelixIP
Apr 1 at 18:21






Everything is connected but not where you think it is. There are missing nodes in your network.

– FelixIP
Apr 1 at 18:21











1 Answer
1






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Based upon what @FelixIP said I would check the junctions marked here:



Image



See if they are genuinely snapped or its not a multi-part shape which breaks network topology.






share|improve this answer























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    Based upon what @FelixIP said I would check the junctions marked here:



    Image



    See if they are genuinely snapped or its not a multi-part shape which breaks network topology.






    share|improve this answer



























      1














      Based upon what @FelixIP said I would check the junctions marked here:



      Image



      See if they are genuinely snapped or its not a multi-part shape which breaks network topology.






      share|improve this answer

























        1












        1








        1







        Based upon what @FelixIP said I would check the junctions marked here:



        Image



        See if they are genuinely snapped or its not a multi-part shape which breaks network topology.






        share|improve this answer













        Based upon what @FelixIP said I would check the junctions marked here:



        Image



        See if they are genuinely snapped or its not a multi-part shape which breaks network topology.







        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered 2 days ago









        HornbyddHornbydd

        27.1k32957




        27.1k32957



























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