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Installation
$ pip install hypergz
Try the algorithm
To run your own example click here
Introuction
This repository is an implementation of two algorithms:1) Force-Directed Graph Drawing Using Social Gravity and Scaling
Link for atricle: https://arxiv.org/pdf/1209.0748.pdfAuthors:
- Michael J. Bannister
- David Eppstein
- Michael T. Goodrich
- Lowell Trott
This algorithm creates a pleasant drawing of a graph in a shape of a circle using attraction and rejection forces as well as social.
This algorithm offers 3 methods of social gravity:
- Centrality by clossness: The closer a vertex is to other vertices the more central it will be.
- Centrality by betweeness: Vertex who is part of more shortest paths will be more central.
- Centrality by degree: Vertex with higher degree will be more central.
Example of different centralities in tree graph
| Networkx | Clossness |
|---|---|
| Betweeness | Degree |
|---|---|
2) Hypergraph Drawing by Force-Directed Placement
Link for atricle: https://www.researchgate.net/publication/318823299_Hypergraph_Drawing_by_Force-Directed_PlacementAuthors:
- Naheed Anjum Arafat
- Stephane Bressan
This algorithm creates a pleasant drawing of a hyper-graph using any force-directed algrithm. We implemnted with the first algoritm. This algorithm offers 4 methods of converting hyper-graph to a graph (to apply force-directed algorithm on):
- Complete graph: connecting all vertices with all vertices.
- Cycle graph: connecting each vertex to the next vertex.
- Star graph: connecting all vertices to their center of Mass.
- Wheel graph: union of the Cycle and the Star graphs.
Example of different graphs
| Complete | Cycle | Betweeness | Degree |
|---|---|---|---|
Example of hyper-graph with 10 vertices and 8 hyper-edges
| Complete | Cycle |
|---|---|
| Betweeness | Degree |
|---|---|
The team:
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