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Mining Communication Data in a Music Community: A Preliminary Analysis

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Abstract

Comments play an important role within online creative communities because they make it possible to foster the production and improvement of authors’ artifacts. We investigate how comment-based communication help shape members’ behavior within online creative communities. In this paper, we report the results of a preliminary study aimed at mining the communication network of a music community for collaborative songwriting, where users collaborate online by first uploading new songs and then by adding new tracks and providing feedback in forms of comments.

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Notes

  1. 1.

    http://songtr.ee

  2. 2.

    https://gephi.org

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Acknowledgements

We thank Songtree for contributing their data. This work has been partially supported by the project EmoQuest, funded by MIUR under the SIR program.

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Correspondence to Giuseppe Iaffaldano .

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Calefato, F., Iaffaldano, G., Lanubile, F., Lategano, A., Novielli, N. (2018). Mining Communication Data in a Music Community: A Preliminary Analysis. In: Garrigós, I., Wimmer, M. (eds) Current Trends in Web Engineering. ICWE 2017. Lecture Notes in Computer Science(), vol 10544. Springer, Cham. https://doi.org/10.1007/978-3-319-74433-9_22

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  • DOI: https://doi.org/10.1007/978-3-319-74433-9_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74432-2

  • Online ISBN: 978-3-319-74433-9

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