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spatial_net.html
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spatial_net.html
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<!doctype html>
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<title>Spatial Networks</title>
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<meta name="author" content="José Luis Losada">
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<h3>Core and periphery in Spanish Byzantine novels. Exploration of literary places with spatial networks</h3>
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<h5>Spatial Humanities 2021 NOVA-FCSH, Universidade Nova de Lisboa</h5>
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### Digital mapping of fictional places
[https://editio.github.io/mapping.literature](https://editio.github.io/mapping.literature)
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## Core and periphery
- Interdisciplinary distribution.
- Heterogeneous character in literary analysis.
- Y. Lotman: Semiosphere and artistic space.
- Cervantes' _Persiles_: Barbarian North (periphery) vs. Rome (center).
- Heliodorus', _Aethiopica_: Barbarian South (periphery) vs _oikouménē_ (center).
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the identification of what is "near" with what is understandable, one's own and familiar, and the identification of what is "distant" with what is not understood and alien — all these things are couched in models of the world invested with distinctly spatial features</div>
<div class="fuente">Lotman, <i>Structure of artistic text</i>, 1977, 218</div>
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## Corpus and Places
- _El peregrino en su patria_, 1604
- _Persiles y Sigismunda_, 1617
- _Semprilis y Genorodano_, 1629
- _Eustorgio y Clorilene_, 1629
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## Extraction and geolocation
- NLP/NER tools: FreeLing
- Geolocation: R package (Pelagios APIs infrastructure): ["editio/georeference"](https://github.com/editio/georeference)
- Geolocation of fictional places (limitations)
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## Methodology
The geolocated places mentioned in the novels are converted into spatial networks in order to apply measures of centrality (eigenvector values)
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## Steps
- The places (converted to spatial points) have been connected with a Delaunay triangulation
- The resulted TIN (Triangulated Irregular Network) gets weighted edges based on euclidean distances, so that the value of the weighted edge depends on the distance between points.
- We applied eigenvector centralities to the graph, resulting in the lowest eigenvector value to the closest points, the highest to the furthest.
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- Pebesma (2013): Geo functions in R.
- `deldir` (Turner 2019) and `ggvoronoi` (Garrett 2018): R packages for spatial networks.
- `igraph` (Csardi 2019): Network analysis and metrics.
- `ggplot2` (Wickham 2016) and `leaflet` (Cheng 2018): Data and maps visualization.
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Delaunay triangulation of places mentioned in Persiles
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Graph from a Triangulated Irregular Network (TIN)
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## Results
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## Conclusions
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<p>José Luis Losada Palenzuela · 2021</p>
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