Abstract
A class of centrality measures called betweenness centralities reflects degree of participation of edges or nodes in communication between different parts of the network. The original shortest-path betweenness centrality is based on counting shortest paths which go through a node or an edge. One of shortcomings of the shortest-path betweenness centrality is that it ignores the paths that might be one or two steps longer than the shortest paths, while the edges on such paths can be important for communication processes in the network. To rectify this shortcoming a current flow betweenness centrality has been proposed. Similarly to the shortest path betweenness, it has prohibitive complexity for large size networks. In the present work we propose two regularizations of the current flow betweenness centrality, $\alpha$-current flow betweenness and truncated $\alpha$-current flow betweenness, which can be computed fast and correlate well with the original current flow betweenness.
Original language | English |
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Title of host publication | Algorithms and Models for the Web Graph |
Subtitle of host publication | 10th International Workshop, WAW 2013, Cambridge, MA, USA, December 14-15, 2013, Proceedings |
Editors | Anthony Bonato, Michael Mitzenmacher, Paweł Prałat |
Place of Publication | Cham |
Publisher | Springer |
Pages | 106-117 |
Number of pages | 12 |
ISBN (Electronic) | 978-3-319-03536-9 |
ISBN (Print) | 978-3-319-03535-2 |
DOIs | |
Publication status | Published - 2013 |
Event | 10th International Workshop on Algorithms and Models for the Web Graph, WAW 2013 - Cambridge, United States Duration: 14 Dec 2013 → 15 Dec 2013 Conference number: 10 |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer |
Volume | 8305 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Workshop
Workshop | 10th International Workshop on Algorithms and Models for the Web Graph, WAW 2013 |
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Abbreviated title | WAW |
Country/Territory | United States |
City | Cambridge |
Period | 14/12/13 → 15/12/13 |
Keywords
- Centrality measure
- Betweenness centrality
- Closeness centrality
- Large connected component
- Power iteration