venice; network science; bibliometrics; algorithmic historiography; citation analysis
Colavizza Giovanni, Romanello Matteo, Kaplan Frédéric (2018), The references of references: a method to enrich humanities library catalogs with citation data, in International Journal on Digital Libraries
, 19(2-3), 151-161.
Rodrigues Alves Danny, Colavizza Giovanni, Kaplan Frédéric (2018), Deep Reference Mining From Scholarly Literature in the Arts and Humanities, in Frontiers in Research Metrics and Analytics
, 3, 1-13.
Colavizza Giovanni (2017), The structural role of the core literature in history, in Scientometrics
, 113(3), 1787-1809.
Colavizza Giovanni, Romanello Matteo (2017), Annotated References in the Historiography on Venice: 19th–21st centuries, in Journal of Open Humanities Data
, 3, 1-6.
Colavizza Giovanni (2017), The Core Literature of the Historians of Venice, in Frontiers in Digital Humanities
, 4, 1-13.
Colavizza Giovanni, Franssen Thomas, van Leeuwen Thed, An empirical investigation of the Tribes and their Territories: are research specialisms rural and urban?, in Journal of Informetrics
Colavizza Giovanni, Romanello Matteo, Citation Mining of Humanities Journals: the Progress to Date and the Challenges Ahead, in Journal of European Periodical Studies
Colavizza Giovanni, Understanding the history of the humanities from a bibliometric perspective: Expansion, conjunctures and traditions in the last decades of Venetian historiography (1950-2013), in History of Humanities
The aim of this research project is to explore the History of the History of Venice through the help of new algorithmic approaches. Through the development of citation extraction methods and an analytical framework for citation analysis in the humanities, the project ambitions to reconstruct chronology of influences, detect scholarly debates and identify schools of thoughts. This retroactive cartography and the tools developed to produce also aim at identifying promising paths for studying Venice in the coming years. The project uses a corpus of more than 5000 monographs and journals, published during the last 200 years, dealing with all the aspects of Venetian history. Explicit and implicit citations of each document of this corpus are automatically extracted through supervised methods using conditional random fields. Based on these extractions, citation networks are constructed both for primary and secondary sources. The analysis of these networks allows not only to cluster documents into thematic areas and school of thoughts but also to detect tensions between documents citing similar primary sources in association with different secondary literature. A new analytic method introducing the concept of citation spectra is the basis of the constitution of a document typology, opening for finer-grained historiographical explanations. Developed in the context of an on-going digitization initiative making a large set of primary Venetian sources available for research, the project ambitions to give a new understanding of the articulation between primary and secondary literature through the development of a integrated search engine and visualization tools. The analysis methods and the pipeline for extracting, clustering and visualizing citations networks are general and could be applied for the study of other scholarly corpora, beyond this Venetian case study. The goal is to finally bridge the gap between primary and secondary sources, considering both as a whole within a unique knowledge system.