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Community detection analysis with robin on hashtag network

Francesco Santelli
•
Valeria Policastro
•
Giancarlo Ragozini
2023
  • conference object

Abstract
In Social Network science, and especially in the Social Media field, the research of communities is still an open and challenging task, mostly for what concerns the reliability of the results obtained. When dealing with hashtag networks, the research of communities is related to the identification of topics, which is a challenging achievement. Moreover, when dealing with political debates, which is our study’s aim, it is even more complex. In this work, we aim to look for reliable communities on a co-occurrence hashtag network related to the Italian Political campaign (2022). To achieve this goal, we applied two different procedures to compare and validate different community detection algorithms.
Archivio
https://hdl.handle.net/11368/3060678
https://it.pearson.com/content/dam/region-core/italy/pearson-italy/pdf/Docenti/Università /bozza-book-compresso-new1.pdf
Diritti
closed access
license:digital rights management non definito
license uri:iris.pri00
FVG url
https://arts.units.it/request-item?handle=11368/3060678
Soggetti
  • social media analytic...

  • community detection c...

  • hashtag network

  • topic detection

  • political tweet

  • robustness

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