By Ralph Kenna, Máirín MacCarron, Pádraig MacCarron

ISBN-10: 3319394436

ISBN-13: 9783319394435

ISBN-10: 3319394452

ISBN-13: 9783319394459

With an emphasis on exploring measurable points of historical narratives, Maths Meets Myths units out to enquire age-old fabric with new options. This ebook collects, for the 1st time, novel quantitative ways to learning resources from the previous, akin to chronicles, epics, folktales, and myths. It contributes considerably to fresh efforts in bringing jointly ordinary scientists and arts students in investigations geared toward reaching better figuring out of our cultural inheritance.

Accordingly, every one contribution reviews on a latest quantitative process appropriate to narrative assets from the earlier, or describes these which might be amenable to such remedy and why they're important.

This quantity is a different cutting-edge compendium on an rising examine box which additionally addresses someone with pursuits in quantitative methods to humanities.

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Extra info for Maths Meets Myths: Quantitative Approaches to Ancient Narratives

Sample text

The resulting network is indeed more realistic when compared to social networks. Similarly, local changes in the Táin network achieve the same result. Four of the six manipulated nodes coincide with those identified by Jackson and the network that remains echoes the properties of many real world networks. Acknowledgements We thank Silvio Dahmen and Joseph Yose for discussions which helped inform the content and presentation of this chapter. 3 The question of historicity is an old one and long debated.

Dunbar, R. I. M. (2016). Family counts: Deciding when to murder among the Icelandic Vikings. , Dunbar, R. I. , & Pezzoni, F. (2012). Ego network models for future internet social networking environments. Computer Communications, 35, 2201–2217. , & Dunbar, R. I. M. (2007). Perspective-taking and memory capacity predict social network size. Social Networks, 29, 93–104. , & Dunbar, R. I. M. (2004). The small world of Shakespeare’s plays. Human Nature, 14, 397–408. Sutcliffe, A. , Dunbar, R. I.

For the Iliad, while the full network is slightly disassortative, the positive subnetwork is assortative. In the case of Beowulf and the Táin, the full network and the full positive subnetworks are disassortative. Coupling expert opinion in the humanities with a certain freedom enjoyed in theoretical physics, we explore the Beowulf network obtained by removing its eponymous protagonist. The resulting network is indeed more realistic when compared to social networks. Similarly, local changes in the Táin network achieve the same result.

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Maths Meets Myths: Quantitative Approaches to Ancient Narratives by Ralph Kenna, Máirín MacCarron, Pádraig MacCarron

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