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3 results for “A Song of Ice and Fire”
Character Networks of 'A Song of Ice and Fire' Adaptations Across Media
<p><strong>Description. </strong>This work aims at comparing three crossmedia adaptations of the same story: George R. R. Martin’s <em>A Song of Ice an Fire</em> original novels, the comics directly adapted from this series, and the <em>Game of Throne</em> TV show. To perform our analysis, we used two representations of these stories: textual vs. graph-based. The textual one corresponds to summaries, whereas the graphs are character networks, representing the interactions between characters. We performed a descriptive analysis of the three adaptations, and tackle a task consisting in automatically aligning the three stories.</p> <p>This dataset contains the input files used by our scripts (various versions of the character networks) as well as the files produced during the processing.</p> <ul> <li>The archives starting with `nets_` correspond to the network files used as input during processing.</li> <li>Those starting with `out_` are the files (mainly stats and plots) produced by our scripts.</li> </ul> <p>The networks are available in several versions, using the `graphml` format:</p> <ul> <li>Folder `cumul`: cumulative networks, i.e. dynamic networks that grow from the beginning to the end of the story. The very last network corresponds to the <em>static</em> network, i.e. the network representing the whole timeline.</li> <li>Folder `instant`: also a dynamic network, but this time each instant is not considered as an increment. Each `graphml` file only focuses on a specific temporal subdivision of the story.</li> </ul> <p>The temporal subdivisions depend on the considered medium:</p> <ul> <li>Novels: only <em>chapter</em>.</li> <li>Comics: <em>chapter</em> or <em>scene</em>.</li> <li>TV show: <em>episode</em>, <em>block</em> or <em>scene</em>.</li> </ul> <p>TV show blocks were defined <em>ad hoc</em> to get a subdivision larger than a scene but smaller than a whole episode. We experimented with two versions: blocs based on the location persistence vs. character similarity.</p> <p><strong>Software. </strong>The scripts are publicly available online: <a href="https://github.com/CompNet/Sachan">https://github.com/CompNet/Sachan</a></p> <p><strong>References. </strong>This work was published in the following article:</p> <ul> <li> <div> <div>A. Amalvy, M. Janickyj, S. Mannion, P. MacCarron, and V. Labatut, “Interconnected Kingdoms: Comparing ‘A Song of Ice and Fire ́Crossmedia Adaptations Using Complex Networks,” <em>Social Network Analysis and Mining</em>, vol. 14, p. 199, 2024. DOI: <a href="https://doi.org/10.1007/s13278-024-01365-z">10.1007/s13278-024-01365-z</a> ⟨<a href="https://hal.science/hal-04722579">hal-04722579</a>⟩</div> </div> </li> </ul> <p><strong>Citation. </strong>If you use these scripts, please cite the above article:</p> <pre><code>@Article{Amalvy2024c, author = {Amalvy, Arthur and Janickyj, Madeleine and Mannion, Shane and MacCarron, Pádraig and Labatut, Vincent}, title = {Interconnected Kingdoms: Comparing `A Song of Ice and Fire' Crossmedia Adaptations Using Complex Networks}, journal = {Social Network Analysis and Mining}, year = {2024}, volume = {14}, pages = {199}, doi = {10.1007/s13278-024-01365-z}, }</code><br><br></pre>
MCMC samples from an analysis reported in a paper titled "A Song of Neither Ice nor Fire: Temperature extremes had no impact on violent conflict among European societies during the 2nd millennium"
<p>These data are posterior samples from an MCMC used to estimate parameters for a Bayesian state-space time-series regression model. They are products of an analysis reported in "A Song of Neither Ice nor Fire: Temperature extremes had no impact on violent conflict among European societies during the 2nd millennium", an academic paper that has recently been submitted for peer review. We have archived the MCMC samples here in order to facilitate peer review, replication, and open science.</p> <p>The samples are stored in .RData format (matrices when loaded into an R environment) and the R code used to produce them is provided in a GitHub repo (https://github.com/wccarleton/extreme-conflict). Each .RData file contains a matrix called "samples". The columns of the matrix are each an MCMC chain for a given (column name) model parameter monitored during the MCMC simulation. See the aforementioned GitHub repo for more details.<br> <br> </p>
A Song of Ice and Fire Books (Game of Thrones)
A Song of Ice and Fire is a series of epic fantasy novels by the American novelist and screenwriter George R. R. Martin. He began the first volume of the series, A Game of Thrones, in 1991, and it was published in 1996. I have a Patreon Join now! :https://www.patreon.com/user?u=14434838 Source: Objaverse 1.0 / Sketchfab
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