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Fig 1.

Top: Comparison of out-degree (left) and in-degree (right) distributions of categories in the metaphor network and configuration random model.

Bottom: Absolute (left) and normalized (right) in- vs outdegree of categories in the metaphor network. Categories of the two anti-communities are distinguished by colour (categories not assignable to an anti-communities are black).

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Fig 2.

Anticommunities and metaphor persistence.

Left: Connectivity patterns in the metaphoric mapping network distinguish two classes of categories that coincide with concrete categories (Con) and abstract categories (Abs). These classes form anti-communities, that is, most of the connections are between the classes and not within them. The bar chart compares the number of connections between classes observed in the metaphorical network (green bars) and the average number of connections observed in an ensemble of 1000 configuration random graphs (red bars with error bars). It shows that there are two systematically dominating metaphor groups, mappings from the concrete to the abstract anti-communities, and another with mappings within the concrete anti-community, which shows the continuing re-determination and re-linking of concrete themes. Right: Comparison of multiplicity values of edges between configuration random model and the metaphor network.

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Table 1.

Non-symmetric three-Vertices motifs with corresponding z-value. Two-vertex motifs with corresponding z-value. For complete network, only connections within concrete topics block and only connections within abstract topic block.

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Fig 3.

Hierarchical representation of semantic roles in the metaphor network.

The figure is one of the four dendrograms obtained from running a Hierarchical Cluster Analysis algorithm on the set of categories from the metaphor network. Categories were represented by their incoming and outgoing neighborhoods, the distance between categories c and was computed by counting the number of non-common connections: , and Ward’s method was used as a grouping methodology.

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Fig 4.

Left: Distribution of Forman Ricci vs Ollivier Ricci curvature of edges in the metaphoric network.

Right: Out-degree vs transitivity in the metaphor network.

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Fig 5.

Distribution of Forman Ricci (left) and Ollivier Ricci (right) edge curvature in the metaphoric network.

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