The Publishers Network. Text-mining and network analysis models based on aNobii dataset
DOI:
https://doi.org/10.54103/2531-5994/31140Keywords:
social reading, aNobii, text mining, network science, rete degli editori, publishers networkAbstract
This paper aims to examine and discuss methods and results of the analysis of data extracted from the social reading platform aNobii (http://www.anobii.com/). This research is a a part of the project “Read on the Net. Analysis of reading practices in a digital environment” (Leggere in rete. Analisi delle pratiche di lettura in ambiente digitale), in collaboration between the University of Rome Sapienza and the University of Turin. Here we present in particular the results related to the analysis of publishers starting not from the classic data on publishing production reported annually by Istat but starting from the reviews of the books left by readers on the platform aNobii.
The research was conducted according to two integrated perspectives: one oriented to define and visualize, in graph form, the network of publishers using network science; the other, starting from the segmentation of the publishers realized through the network metrics, analyzes the vocabularies related to each publisher and identifies their specificities, through the techniques of text mining.

