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Knowledge Graphs and Data Services for Studying Historical Epistolary Data in Network Science on the Semantic Web

Submitted by Petri Leskinen on 04/02/2025 - 05:36

Tracking #: 3833-5047

Authors: 
Petri Leskinen
Javier Ureña-Carrion
Jouni Tuominen
Mikko Kivelä
Eero Hyvonen

Responsible editor: 
Guest Editors Tools Systems 2022

Submission type: 
Tool/System Report
Abstract: 
Communication data between people is a rich source for insights into societies and organizations in areas ranging from research on history to investigations on fraudulent behavior. These data are typically heterogeneous datasets where communication networks between people and the times and geographical locations they take place are important aspects. We argue that these features make the area of temporal communications a promising application case for Linked Data (LD) -based methods combined with temporal network analyses. The key result of this paper is to present a framework, tools, and systems for creating, publishing, and analyzing historical LD from a network science perspective. The focus is on network analysis of epistolary network data (metadata about letters), based on recent advances in analysis of temporal communication networks and the behavioral patterns commonly found in them. To test, evaluate, and demonstrate the usability of the framework, this paper shows how network analysis has been applied to (1) the Dutch CKCC corpus (of ca. 20 000 letters), (2) the pan-European correspSearch corpus (of ca. 135 000 letters) with promising results. The tools presented have also been re-used successfully in other related systems, such as LetterSampo Finland (1809--1917) of 1.2 million historical letters.
Full PDF Version: 
PDF icon swj3833.pdf
Previous Version: 
Knowledge Graphs and Data Services for Studying Historical Epistolary Data in Network Science on the Semantic Web
Tags: 
Reviewed
Long-term Stable Link to Resources: 
https://zenodo.org/records/6631385

Decision/Status: 
Accept

Solicited Reviews:

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Review #1
By Cogan Shimizu submitted on 19/Nov/2025
Suggestion:
Accept
Review Comment:

After a brief editorial review, we find that the comments from previous reviewers have been satisfactorily addressed.