Abstract
This study follows a multidisciplinary approach which combines text mining techniques, data visualization, and educational research to focus online knowledge communities. Recently, social media shifted information from “official” source to user-generated content changing knowledge building practices. Starting from a large textual dataset, created using mining techniques, these authors build an interactive visual tool to explore conversation of an Italian Facebook group. The aim of this research is to build a web-based tool, which allows exploration and navigation through conversations and topics, to understand the significance of interactions in the research community. Results show that members’ participation in the community conversations has grown in the course of time. Comments published from 1 January 2012 to 31 December 2016 allow us to identify seven topics for different fields of interest in the ROARS community. Despite positive results, further investigations are required to give weight to the empirical evidence.
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Iannotta, I.S., Vitale, P. (2020). Research Topics: A Multidisciplinary Analysis of Online Communities to Detect Policy-Making Indicators. In: Barolli, L., Hellinckx, P., Natwichai, J. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2019. Lecture Notes in Networks and Systems, vol 96. Springer, Cham. https://doi.org/10.1007/978-3-030-33509-0_22
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