Studying the structures of social networks has yielded a wide variety of insights, as well as the recognition that, despite the variety of social networks studied, they often have certain properties in common. Of course, many of these network properties are those shared by many other networks found "in the wild," from high amounts of clustering to short path lengths between any two nodes as well as heavy-tailed distributions of connections.
However, one property that distinguishes social networks from at least certain other types of networks is that of assortative mixing: highly connected nodes are more likely to be connected to other highly connected nodes (popular people are also friends with other popular people). However, social networks are by no means the only networks that display this property. For example, certain biological networks display assortative mixing as well.
Recently, network scientists used network analysis to examine the social networks in three works of mythology: The Iliad, Beowulf, and the Tain, an Irish epic poem, using assortative mixing as at least one of the lenses with which to study them. They discuss this analysis in a popular piece in the New York Times:
This is an intriguing analysis, although of course the datasets are small and many of these properties can be found in other networks. Furthermore, as the original paper notes (as well as in their popular discussion), in order to distinguish the *Tain *from more realistic fiction, certain modifications to the datasets were made, such as removing main characters or connections, and then examining the networks. While this makes any conclusions speculative (which the authors correctly note), this is certainly an intriguing approach to comparative mythology and should at least be considered as a tool in future mythological research.
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