Heidi Jauhiainen
Biographic Data
| ID | 4101414 |
|---|---|
| NAME | Heidi Jauhiainen |
| GIVEN NAMES | Heidi |
| FAMILY NAME | Jauhiainen |
| SIGNATURE | JAUHIAINEN H |
| AFFILIATIONS | University of Helsinki |
| ORCID | 0000-0002-8227-5627 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Neo-Assyrian Imperial Religion Counts
This article pursues a quantitative approach to measure and compare the frequency with which Neo-Assyrian kings and queens co-occur with deities across thousands of cuneiform documents. For the large corpus of kings’ texts, we used an automated method to collect data that is digitally available in the Open Richly Annotated Cuneiform Corpus (Oracc). For the much smaller corpus of queens’ texts, we collected data manually. As output, we offer new b…
Aššur and His Friends
Large digital datasets of cuneiform sources lend themselves to computational analysis that can complement and improve upon traditional philological work. The present article applies social network analysis to an electronic corpus of 1,532 texts to study the god Aššur and his position in divine networks in the Neo-Assyrian period. Our results show that the performance of social network analysis can be improved by using a small window size and calc…
Neo-Assyrian Imperial Religion Counts
This article pursues a quantitative approach to measure and compare the frequency with which Neo-Assyrian kings and queens co-occur with deities across thousands of cuneiform documents. For the large corpus of kings’ texts, we used an automated method to collect data that is digitally available in the Open Richly Annotated Cuneiform Corpus (Oracc). For the much smaller corpus of queens’ texts, we collected data manually. As output, we offer new b…
Aššur and His Friends
Large digital datasets of cuneiform sources lend themselves to computational analysis that can complement and improve upon traditional philological work. The present article applies social network analysis to an electronic corpus of 1,532 texts to study the god Aššur and his position in divine networks in the Neo-Assyrian period. Our results show that the performance of social network analysis can be improved by using a small window size and calc…
Aššur and His Friends
Large digital datasets of cuneiform sources lend themselves to computational analysis that can complement and improve upon traditional philological work. The present article applies social network analysis to an electronic corpus of 1,532 texts to study the god Aššur and his position in divine networks in the Neo-Assyrian period. Our results show that the performance of social network analysis can be improved by using a small window size and calc…
Neo-Assyrian Imperial Religion Counts
This article pursues a quantitative approach to measure and compare the frequency with which Neo-Assyrian kings and queens co-occur with deities across thousands of cuneiform documents. For the large corpus of kings’ texts, we used an automated method to collect data that is digitally available in the Open Richly Annotated Cuneiform Corpus (Oracc). For the much smaller corpus of queens’ texts, we collected data manually. As output, we offer new b…
Ancient history (2 works) · Ancient Near East History (2 works) · History (2 works) · History (2 works) · Linguistics and language evolution (2 works) · Ancient Egypt and Archaeology (1 works) · Archaeology (1 works) · Art (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence (1 works)