We propose that structural features in the narrative that are reflected in our actual social world help readers to follow and to relate to the story, despite its sprawling extent. These are consistent with power-law distributions commonly found in interevent times for a range of nonviolent human activities in the real world. We also analyze the distribution of time intervals between significant deaths measured with respect to the in-story timeline. Furthermore, the degrees of the most connected characters reflect a cognitive limit on the number of concurrent social connections that humans tend to maintain.
By tracking the network of character interactions as the story unfolds, it is found that structural properties remain approximately stable and comparable to real-world social networks. Martin’s epic novels, A Song of Ice and Fire, works noted for their scale and complexity. Network science and data analytics are used to quantify static and dynamic structures in George R.
