Glossary
- Graph:
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(or Network) A set of vertices connected by edges
- Adjacency Matrix:
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A matrix A which represents the structure of a graph. The element A ij is either 0 if i and j are not connected or A ij = 1 if there is an edge from i to j. For a spatial network, the position of the nodes {x i } is needed in order to completely characterize the network
- Betweenness Centrality:
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The betweenness centrality of a vertex (or an edge) x is defined as \(BC(x) = \sum\nolimits_{s,t \in V} {{{\sigma _{st} (x)} \over {\sigma _{st} }}}\) where σ st .(x) is the number of shortest paths between s and t using x and σ st is the number of all shortest paths between s and t
- Betweenness Centrality Impact:
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Measures how a new link affects the average betweenness centrality of a graph. This quantity can help in characterizing the different types of new links during the evolution of a (spatial) network
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Barthelemy, M. (2014). Spatial Networks. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6170-8_40
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