What is betweenness centrality and interaction flux?
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Betweenness centrality is a measure used in network analysis to determine the importance of a node in controlling the flow of information between other nodes. It quantifies the potential or power of a node to act as an intermediary for information exchange. It is based on the assumption that information primarily flows over the shortest paths between nodes . Interaction flux, on the other hand, is a concept that incorporates spatial interactions into betweenness centrality calculations. It takes into account the intensity of spatial interaction between nodes when determining their importance in information exchange. This approach recognizes that the contributions of all shortest paths may not be equal due to variations in spatial interactions along these paths. By incorporating spatial configuration, interaction flux provides a more accurate measure of node importance in spatial networks .
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| Betweenness centrality is a measure of a node's importance in a network based on its ability to act as a bridge between other nodes. Interaction flux refers to the intensity of spatial interactions between nodes in a network. | |
| Betweenness centrality is a measure of a vertex's influence on information flow in a network. The paper does not mention "interaction flux." | |
1 Citations | Betweenness centrality is a measure of the relative importance of a vertex in a network based on shortest paths counting. The paper does not mention anything about interaction flux. |
3 Citations | Betweenness centrality is a measure of a node's control over communication in a network. The paper does not mention interaction flux. |
Open access•Posted Content | Betweenness centrality is a measure of a vertex's influence on information flow in a network. The paper discusses betweenness centrality in different types of graphs. |
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