The aim of the present contribution is to discuss the first results of the application of web scraping techniques to derive co-authorship data among scholars. A semi-automatic tool is adopted to retrieve metadata from a platform introduced for managing and supporting research products in Italian universities. The co-authorship relationships among Italian academic statisticians will be used as basis to analyze updated collaborations patterns in this scientific community
Using web scraping techniques to derive co-authorship data: insights from a case study
Domenico De Stefano;Vittorio Fuccella;Maria Prosperina Vitale
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2018-01-01
Abstract
The aim of the present contribution is to discuss the first results of the application of web scraping techniques to derive co-authorship data among scholars. A semi-automatic tool is adopted to retrieve metadata from a platform introduced for managing and supporting research products in Italian universities. The co-authorship relationships among Italian academic statisticians will be used as basis to analyze updated collaborations patterns in this scientific communityFile in questo prodotto:
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