Università di Pisa
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Versatile weighting strategies for a citation-based research evaluation model

Del Corso, Gianna M. and Romani, Francesco (2009) Versatile weighting strategies for a citation-based research evaluation model. Technical Report del Dipartimento di Informatica . Università di Pisa, Pisa, IT.

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    In this paper, we first give a quick review of the most used numerical indicators for evaluating research, and then we present an integrated model for ranking scientific publications together with authors and journals. Our model relies on certain adiacency matrices obtained from the relations of citation, authorship and publication. These matrices are first normalized to obtain stochastic matrices and then are combined together by means of weights to form a suitable irreducible stochastic matrix whose dominant eigenvector provides the ranking. We discuss various strategies for choosing the weights and we show on large synthetic datasets how the choice of a weighting criteria rather than another can change the behavior of our ranking algorithm.

    Item Type: Book
    Uncontrolled Keywords: PageRank, Perron vector, citation analysis impact factor
    Subjects: Area01 - Scienze matematiche e informatiche > INF/01 - Informatica
    Divisions: Dipartimenti (until 2012) > DIPARTIMENTO DI INFORMATICA
    Depositing User: dott.ssa Sandra Faita
    Date Deposited: 04 Dec 2014 14:20
    Last Modified: 04 Dec 2014 14:20
    URI: http://eprints.adm.unipi.it/id/eprint/2224

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