Text mining and network science to analyze the complexity of reading. Principles, methods, application experiences
- Lettura Sociale,
- Sistema complesso,
- Text mining,
- Network Science
How to Cite
Faggiolani, C., Verna, L., & Vivarelli, M. (2017). Text mining and network science to analyze the complexity of reading. Principles, methods, application experiences. JLIS.It, 8(3), 115–136. https://doi.org/10.4403/jlis.it-12414
AbstractThis paper proposes some reflections concerning the practice of reading, its conceptual structure and its transformations, the blurred profile of the information ecology in which it is inserted. At the same time illustrates some outcomes of a research project conducted with tools of text mining and network science on the social reading platform aNobii .
The paper presents these main topics: a) general overview of reading's context; b) short discussion reading as a complex system; c) presentation of some central concepts of network science and of its applications; d) introduction to text mining with some results of analysis of aNobii's reviews; e) conclusions and prospectives.
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