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Graph Abstraction Based on Node Betweenness Centrality
2019
International Journal of Image Graphics and Signal Processing
There are many graph abstraction methods that are existed as solutions for problems of graphs visualization. Visualization problems include edge crossings and node occlusions that hide the potential existed patterns. The aim of this research is to abstract graphs using one of network analysis metrics which is node betweenness centrality. Betweenness centrality is calculated for all graph nodes. Graph abstraction is done by removing the nodes with their attached edges such that they have
doi:10.5815/ijigsp.2019.11.02
fatcat:barz7if4i5bbhgxk3nrwvb4upm