Fig 1.
Space types proposed by Hillier [10].
The author of this paper made this illustration based on Fig 3 in Tzortzi [35].
Table 1.
Space-type definitions (from Table 1 in Tzortzi [35]).
Fig 2.
Key concepts for graph theory and network science.
The figures in the left columns were developed by the author of this paper, based on Fig 2.13 in Barabási [23].
Table 2.
Basic properties of spatial layout.
Fig 3.
Computation results for the centrality indicators.
(a) betweenness, (b) closeness, (c) degree, (d) clustering coefficient, (e) Eigenvector, (f) Information.
Table 3.
Basic properties of three large-scale museum networks.
Fig 4.
Topological representation of the spatial structure of the first floor of the Louvre Museum.
The nodes identified by numbers indicate the most popular or busiest places or works of art. The size of the node indicates the centrality (the higher the score, the larger the node).
Fig 5.
Topological representation of the spatial structure of the basement, ground floor, and first floor of the Louvre Museum.
The nodes identified by numbers indicate the most popular or busiest places or works of art. The size of the node indicates the centrality (the higher the score, the larger the node).