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Tesi etd-02162020-131903


Tipo di tesi
Tesi di laurea magistrale
Autore
SALINAS, MARIO LEONARDO
URN
etd-02162020-131903
Titolo
ReviewerNet.org : Visualizing Citation and Authorship Relations for Finding Reviewers
Dipartimento
INFORMATICA
Corso di studi
INFORMATICA
Relatori
relatore Prof. Cignoni, Paolo
supervisore Prof.ssa Giorgi, Daniela
supervisore Ponchio, Federico
Parole chiave
  • bibliometric networks
  • big data
  • expert finding
  • graphisc systems
  • GUI
  • scholarly data visualization
Data inizio appello
06/03/2020
Consultabilità
Tesi non consultabile
Riassunto
In this thesis, we propose ReviewerNet, an online, interactive visualization system aimed to improve the reviewer selection process in the academic domain. Given a paper submitted for publication, we assume that good candidate reviewers can be chosen among the authors of a small set of pertinent papers; ReviewerNet supports the construction of such set of papers, by visualizing and exploring a literature citation network. Then, the system helps to select reviewers that are both well distributed in the scientific community and that do not have any conflict-of-interest, by visualising the careers and co-authorship relations of candidate reviewers. The system is publicly available, and is demonstrated in the field of Computer Graphics.
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