dhlab-epfl / LinkedBooksMonographs

A dataset of citations among monographs on the history of Venice

LinkedBooksMonographs: Citations Dataset

A dataset of citations extracted from monographs about the history of Venice, created in the context of the LinkedBooks project.

The creation of the dataset and its characteristics are discussed in the article: Colavizza, G., Romanello, M. and Kaplan, F. (2017). "The References of References: A Method to Enrich Humanities Library Catalogs with Citation Data." in International Journal on Digital Libraries: 1-11. DOI: 10.1007/s00799-017-0210-1.

Contents

• LICENCE MIT
• README.md this file
• Plots.ipynb a Python notebook to replicate figures 3 and 6 from the article
• dataset/
  • citation_data.json the citation dataset among monographs on the history of Venice
  • data_description.md describes in detail the contents of citation_data.json
  • directed_edges.csv the edgelist of the directed citation network. Sep. ;, Quote ". Columns: "Source";"Target";"Type";"Year"
  • directed_nodes.csv the nodelist of the directed citation network. Sep. ;, Quote ". Columns: "Id";"Bid";"Title";"Author";"LB";"Year";"Consultation"
  • list_citing_monographs.csv the list of parsed monographs, from which citations were extracted. Sep. ;, Quote ". Columns: "id";"bid";"title";"author";"year";"extracted unique citations"
  • node_stats.csv the in and outdegree distribution of each node in the network. Sep. ;, Quote ". Columns: "id";"bid";"title";"author";"lb";"year";"consultation";"indegree";"outdegree";"degree"
  • territorio.csv basic information about all libraries in the Italian Library System (e.g. library code, coordinates. etc.). This data is openly available at http://opendata.anagrafe.iccu.sbn.it/territorio.zip.

Running the notebook

Assuming that Python is already installed (tested with version 3.5.0), the following depencies need to be installed as well (it will take a moment):

pip install seaborn
pip install jupyter

Then launch the notebook server with

jupyter notebook

A new browser/tab will open pointing at Jupyter's starting page.

Linked Books Team at EPFL, DHLAB

Giovanni Colavizza, Matteo Romanello, Martina Babetto, Silvia Ferronato.

Acknowledgements

This work would not have been possible without the help of several Italian institutions of culture. In alphabetical order we thank: the Ca’Foscari University Library System and the Ca’Foscari University Humanities Library (BAUM), the Central Institute for the Union Catalogue of Italian Libraries and Bibliographic Information (ICCU), the European Library of Information and Culture (BEIC), the Istituto Veneto di Scienze Lettere ed Arti, the Marciana Library, the State Archive of Venice.

The project is supported by the Swiss National Fund, with grants 205121_159961 and P1ELP2_168489.

Please cite as

Matteo Romanello and Giovanni Colavizza. (2017). dhlab-epfl/LinkedBooksMonographs: LinkedBooksMonographs (version 1.1) [Data set].