Scaling up archival text analysis with the blockmodeling of n-gram networks -- A case study of Bulgaria's representation in the Osservatore Romano (January-May 1877)
<|reference_start|>Scaling up archival text analysis with the blockmodeling of n-gram networks -- A case study of Bulgaria's representation in the Osservatore Romano (January-May 1877): This paper seeks to bridge the gap between archival text analysis and network analysis by applying network clustering methods to analyze the coverage of Bulgaria in 123 issues of the newspaper Osservatore Romano published between January and May 1877. Utilizing optical character recognition and generalized homogeneity blockmodeling, the study constructs networks of relevant keywords. Those including the sets Bulgaria and Russia are rather isomorphic and they largely overlap with those for Germany, Britain, and War. In structural terms, the blockmodel of the two networks exhibits a clear core-semiperiphery-periphery structure that reflects relations between concepts in the newpaper's coverage. The newspaper's lexical choices effectively delegitimised the Bulgarian national revival, highlighting the influence of the Holy See on the newspaper's editorial line.<|reference_end|>
@article{telarico2024scaling,
    title={Scaling up archival text analysis with the blockmodeling of n-gram
  networks -- A case study of Bulgaria's representation in the Osservatore
  Romano (January-May 1877)},
    author={Fabio Ashtar Telarico},
    journal={Bulgarski ezik i literatura [Bulgarian Language and Literature],
  vol. 66, no. 3, 2024},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.20156},
    primaryClass={cs.DL stat.AP stat.CO stat.OT}
}