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A Social Network of the Prosopography of the Neo-Assyrian Empire

Authors: Jauhiainen, Heidi; Alstola, Tero;

A Social Network of the Prosopography of the Neo-Assyrian Empire

Abstract

The data used for creating "A Social Network of the Prosopography of the Neo-Assyrian Empire" The networks were created from the text and pdf file versions of the Prosopography of the Neo-Assyrian Empire (PNA). There are two different networks created from the same data. In the two-mode network, persons are connected to the texts in which they are attested. The one-mode network connects two persons if they are attested in the same document. In order to study and visualise the networks, it is sufficient to download the folder Networks.zip. SupplementaryData.zip contain more in-depth explanations of the different stages of creating the networks, the normalization lists used for that, and the output of different stages of the procedure. The dataset has also been described in Jauhiainen, H., & Alstola, T. (2022). A Social Network of the Prosopography of the Neo-Assyrian Empire. Journal of Open Humanities Data, 8, 8. DOI: http://doi.org/10.5334/johd.74. For the reasons of copyright, we are not able to publish the data from which the networks have been extracted. But we hope that by publishing all the source codes, concordance lists, and outputs with explanations, we give the user a picture of how the networks were created.

{"references": ["Jauhiainen, H., & Alstola, T. (2022). A Social Network of the Prosopography of the Neo-Assyrian Empire. Journal of Open Humanities Data, 8, 8. DOI: http://doi.org/10.5334/johd.74"]}

Our research has been funded by the Academy of Finland (funding decision numbers 298647, 312051, 330727, 336673).

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Keywords

Social network analysis, Prosopography, Social structure, Assyria, cuneiform

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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