Medieval Historial, Hagiographical and Biographical Networks

Research output: Chapter in Book/Report/Conference proceedingsChapterpeer-review

Abstract

In recent years, a new method to study narrative texts was introduced, using network analysis. The approach is original and adventurous; instead of focusing on the literary or narrative bases of the texts, it involves extracting data for a formalised analysis of network structures. These are determined from descriptions of events in the texts and their statistical properties are studied using standard network-analysis tools. In this way comparisons between chronologically and geographically different texts are possible. Furthermore, we can compare these textual networks with real social networks, studied by modern sociologists or, indeed, fictional ones. These studies have clearly shown that social-network analysis forms an effective bridge between very different disciplines. It can connect scientists and humanists in joint research; it can depict old research questions in a new light and connect different phenomena belonging to the worlds of nature and culture. The key to this bridge is the understanding of complex systems and their emergent properties. But we are still in the very beginning of exploring these issues and in developing an adequate methodology as we seek to incorporate a number of tools recently developed. Here we attempt to cross the bridge from the humanities side. To this end, we present the results of two studies of medieval sources. Our focus is on visualisation and interpretation of local network properties, an approach which is complementary to complexity analyses. We show that the method can offer powerful augmentation to traditional approaches to the humanities and we outline ways in which these can be developed for the future.
Original languageEnglish (Ireland)
Title of host publicationMaths Meets Myths
Subtitle of host publicationQuantitative Approaches to Ancient Narratives
EditorsMáirín MacCarron, Ralph Kenna, Pádraig MacCarron
Place of PublicationCham
PublisherSpringer International Publishing
Pages45-69
Number of pages25
ISBN (Print)978-3-319-39443-5
DOIs
Publication statusPublished - 2017

Publication series

Name1860-0832

Keywords

  • Network Science
  • Medieval History
  • Complexity Science
  • Hagiography

Fingerprint

Dive into the research topics of 'Medieval Historial, Hagiographical and Biographical Networks'. Together they form a unique fingerprint.

Cite this