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Roadmap
agouge edited this page Jan 21, 2013
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Unweighted graphs:
- Certain centrality measures
- Betweenness centrality - using Brandes' algorithm in A Faster Algorithm for Betweenness Centrality (2001).
- Closeness centrality - using results from the calculation for betweenness
Unweighted graphs:
- Other network parameters
Weighted graphs:
- Betweenness centrality
- Both JGraphT-SNA and NetworkAnalyzer (also here) compute betweenness only for unweighted graphs using Brandes.
- Modify Brandes' algorithm by replacing BFS with another one-to-many shortest paths algorithm to
find (and count) all shortest paths (not just one). It would probably be best to write my own
implementation. Options:
- Old-fashioned: Dijkstra (see the end of the Pseudocode section), A*, Floyd-Warshall, or Johnson (better for sparse graphs).
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More recent:
- See Fast and Exact Route Planning for information on contraction hierarchies (CH).
This recent technology (based on Robert Geisberger's thesis
[Contraction Hierarchies: Faster and Simpler Hierarchical Routing in Road Networks]
thesisGeisberger
(July 1, 2008; 70 pages), combined with a bidirectional Dijkstra search, is probably the
fastest way to calculate all-pairs shortest paths. This research group already
implemented CHs in C++.
- The best Java implementation of CHs are already implemented in GraphHopper. The problem is that the GH implementation is giving slower results using CHs than JGraphT-SNA using a simple Dijkstra search.
- See video lectures 6 and 7 of the 2012 Efficient Route Planning course (summer 2012). In the corresponding exercises, students are asked to implement CH.
- Parallelized version: See Christian Vetter's paper Parallel Time-Dependent Contraction Hierarchies (2009).
- Also see the Route Planning in Transportation Networks research group for a long list of publications and recent advances.
- See Route Planning in Road Networks and Dominik Schultes' thesis
(February 7, 2008; 235 pages) of the same name for the following:
- Highway hierarchies
- Highway-node routing
- Transit-node routing
- See Fast and Exact Route Planning for information on contraction hierarchies (CH).
This recent technology (based on Robert Geisberger's thesis
[Contraction Hierarchies: Faster and Simpler Hierarchical Routing in Road Networks]
thesisGeisberger
(July 1, 2008; 70 pages), combined with a bidirectional Dijkstra search, is probably the
fastest way to calculate all-pairs shortest paths. This research group already
implemented CHs in C++.