Ver registro no DEDALUS
Exportar registro bibliográfico

Metrics


Metrics:

Topological-collaborative approach for disambiguating authors’ names in collaborative networks (2015)

  • Authors:
  • USP affiliated authors: OLIVEIRA JUNIOR, OSVALDO NOVAIS DE - IFSC ; COSTA, LUCIANO DA FONTOURA - IFSC
  • USP Schools: IFSC; IFSC
  • DOI: 10.1007/s11192-014-1381-9
  • Subjects: INTELIGÊNCIA ARTIFICIAL; MÉTODOS TOPOLÓGICOS; SISTEMAS COLABORATIVOS; REDES COMPLEXAS
  • Agências de fomento:
  • Language: Inglês
  • Imprenta:
  • Source:
    • Título do periódico: Scientometrics
    • ISSN: 0138-9130
    • Volume/Número/Paginação/Ano: v. 102, n. 1, p. 465-485, Jan. 2015
  • Acesso online ao documento

    Online accessDOI or search this record in
    Informações sobre o DOI: 10.1007/s11192-014-1381-9 (Fonte: oaDOI API)
    • Este periódico é de assinatura
    • Este artigo é de acesso aberto
    • URL de acesso aberto
    • Cor do Acesso Aberto: green
    Versões disponíveis em Acesso Aberto do: 10.1007/s11192-014-1381-9 (Fonte: Unpaywall API)

    Título do periódico: Scientometrics

    ISSN: 0138-9130,1588-2861

    • Melhor URL em Acesso Aberto:


    • Outras alternativas de URLs em Acesso Aberto:
    Informações sobre o Citescore
  • Título: Scientometrics

    ISSN: 0138-9130

    Citescore - 2017: 2.72

    SJR - 2017: 1.125

    SNIP - 2017: 1.378


  • Exemplares físicos disponíveis nas Bibliotecas da USP
    BibliotecaCód. de barrasNúm. de chamada
    IFSC89023195PROD023195
    How to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      AMANCIO, Diego R.; OLIVEIRA JUNIOR, Osvaldo Novais de; COSTA, Luciano da Fontoura. Topological-collaborative approach for disambiguating authors’ names in collaborative networks. Scientometrics, Budapest, Akademiai Kiado, v. 102, n. Ja 2015, p. 465-485, 2015. Disponível em: < http://dx.doi.org/10.1007/s11192-014-1381-9 > DOI: 10.1007/s11192-014-1381-9.
    • APA

      Amancio, D. R., Oliveira Junior, O. N. de, & Costa, L. da F. (2015). Topological-collaborative approach for disambiguating authors’ names in collaborative networks. Scientometrics, 102( Ja 2015), 465-485. doi:10.1007/s11192-014-1381-9
    • NLM

      Amancio DR, Oliveira Junior ON de, Costa L da F. Topological-collaborative approach for disambiguating authors’ names in collaborative networks [Internet]. Scientometrics. 2015 ; 102( Ja 2015): 465-485.Available from: http://dx.doi.org/10.1007/s11192-014-1381-9
    • Vancouver

      Amancio DR, Oliveira Junior ON de, Costa L da F. Topological-collaborative approach for disambiguating authors’ names in collaborative networks [Internet]. Scientometrics. 2015 ; 102( Ja 2015): 465-485.Available from: http://dx.doi.org/10.1007/s11192-014-1381-9

    Referências citadas na obra
    Amancio, D. R., Comin, C. H., Casanova, D., Travieso, G., Bruno, O. M., Rodrigues, F. A., et al. (2014). A systematic comparison of supervised classifiers. PLoS One, 9(4), e94137.
    Amancio, D. R., Nunes, M. G. V., Oliveira, O. N. Jr., & Costa, L. da F., (2012a). Using complex networks concepts to assess approaches for citations in scientific papers. Scientometrics, 90, 2.
    Amancio, D. R., Oliveira, O. N. Jr., & Costa, L., da F., (2012b). On the use of topological features and hierarchical characterization for disambiguating names in collaborative networks. Europhysics Letters, 99, 48002.
    Amancio, D. R., Oliveira, O. N. Jr., & Costa, L., da F., (2012c). Three-feature model to reproduce the topology of citation networks and the effects from authors visibility on their h-index. Journal of Informetrics, 6(3), 427.
    Amancio, S. R., Altmann, E. G., Oliveira, O. N., Jr., & Costa, L., da F., (2011). Comparing intermittency and network measurements of words and their dependence on authorship. New Journal of Physics, 13, 123024.
    Barabási, A.-L. (2003). Linked: How everything is connected to everything else and what it means for business, science, and everyday life. New York: Plume.
    Barabási, A. L., & Albert, R. (1999). Emergence of scaling in random networks. Science, 286(5439), 509–512.
    Boguná, M., Pastor-Satorras, R., & Vespignani, A. (2003). Absence of epidemic threshold in scale-free networks with degree correlations. Physical Review Letters, 90(2), 28701–28703.
    Byung-Won, O., Elmacioglu, E., Lee, D., Jaewoo, K. & Jian, P. (2006) Improving grouped-entity resolution using quasi-cliques. In Sixth International Conference on Data Mining (p. 1008).
    Cohen, R., Havlin, S., & Avraham, D. (2003). Efficient immunization strategies for computer networks and populations. Physical Review Letters, 91(24), 247901–247904.
    Costa, L., da F., & Andrade, R. F. S. (2007). What are the best concentric descriptors for complex networks? New Journal of Physics, 9, 311.
    Costa, L., da F., Oliveira, O. N., Jr, Travieso, G., Rodrigues, F. A., Villas Boas, P. R., Antiqueira, L., et al. (2011). Analyzing and modeling real-world phenomena with complex networks: A survey of applications. Advances in Physics, 60, 329–412.
    Costa, L., da F., Rodrigues, F. A., Travieso, G., & Villas Boas, P. R. (2007). Characterization of complex networks: A survey of measurements. Advances in Physics, 56, 167–242.
    Costa, L., da F., & Silva, F. N. (2006). Hierarchical characterization of complex networks. Journal of Statistical Physics,, 125, 845–876.
    Dasarathy, B. V. (1980). Nosing around the neighborhood: A new system structure and classification rule for recognition in partially exposed environments. The IEEE Transactions on Pattern Analysis and Machine Intelligence, 2(1), 67–71.
    Degenne, A., & Forsé, M. (1999). Introducing social networks. London: Sage Publications Ltd.
    Duda R. O., Hart P. E. & Stork D. G. (2000). Pattern Classification. London: Wiley-Interscience.
    Dueck, D. & Frey, B. J. (2007). Non-metric affinity propagation for unsupervised image categorization. In IEEE 11th International Conference on Computer Vision (p. 1).
    Erdos, P., & Rényi, A. (1959). On random graphs. Publicationes Mathematicae Debrecen, 6, 290.
    Fan, S., Wang, J., Pu, X., Zhou, L., & Lv, B. (2011). On graph-based name disambiguation. Journal of Data and Information Quality, 2(10), 1.
    Ferreira, A. A., Gonçalves, M. A., & Laender, A. H. F. (2012). A brief survey of automatic methods for author name disambiguation. ACM SIGMOD Record, 41(2), 15.
    Huang, J., Ertekin, S. & Giles, C. L. (2006). Efficient name disambiguation for large-scale databases. In European Conference on Principle and Practice of Knowledge Discovery in Databases (p. 536).
    Keller, J. M., Gray, M. R., & Givens, J. A, Jr. (1985). A fuzzy k-nearest neighbor algorithm. IEEE Transactions on Systems, Man and Cybernetics, 15, 4.
    Kleczkowski, A., & Grenfell, B. T. (1999). Mean-field-type equations for spread of epidemics: The small world model. Physica A, 274(1–2), 355–360.
    Lee, D., Kang, J., Mitra, P., Giles, C. L., & On, B.-W. (2007). Are your citations clean? Communications of the ACM, 50, 12.
    Leicht, E. A., Clarkson, G., Shedden, K., & Newman, M. E. J. (2007). Large-scale structure of time evolving citation networks. European Physical Journal B, 59, 75–83.
    Levin, F. H., & Heuser, C. A. (2010). Evaluating the use of social networks in author name disambiguation in digital libraries. Journal of Information and Data Management, 1(2), 183–198.
    Liljeros, F., Edling, C. R., Amaral, L. A. N., Stanley, H. E., & Aaberg, Y. (2001). The web of human sexual contacts. Nature, 411(6840), 907–908.
    Malin, B. (2005). Unsupervised name disambiguation via social network similarity. Workshop on link analysis, counterterrorism, and security, 1401, 93–102.
    Milojevic, S. (2013). Accuracy of simple, initials-based methods for author name disambiguation. Journal of Informetrics, 7(4), 767.
    Newman, M. E. J. (2001). Scientific collaboration networks: Network construction and fundamental results. Physical Review E, 64, 016131.
    Newman, M. E. J. (2006a). Modularity and community structure in networks. Proceedings of the National Acacemy of Sciences United States of America, 103(23), 8577.
    Newman, M. E. J. (2006b). Finding community structure in networks using the eigenvectors of matrices. Physical Review E, 74, 036104.
    Price, D. S. (1976). A general theory of bibliometric and other cumulative advantage processes. Journal of the American Society for Information Science, 27, 292–306.
    Silva, T. C., & Amancio, D. R. (2012). Word sense disambiguation via high order of learning in complex networks. Europhysics Letters, 98(5), 58001.
    Simon, H. A. (1957). Models of man: Social and rational. New York: Wiley.
    Smalheiser, N., & Torvik, V. (2009). Author name disambiguation. Annual Review of Information Science and Technology, 43, 287–313.
    Sun, X., Kaur, J., Possamai, L., & Menczer, F. (2013). Ambiguous author query detection using crowdsourcing digital library annotations. Information Processing & Management, 49(2), 454–464.
    Tang, L., & Walsh, J. P. (2010). Bibliometric fingerprints: name disambiguation based on approximate structure equivalence of cognitive maps. Scientometrics, 84(3), 763–784.
    Viana, M. P., Amancio, D. R., Costa, L. da F., (2013). On time-varying collaboration networks. Journal of Informetrics, 7(2), 371–378.
    Watts, D. J. (2003). Six degrees: The science of a connected age. New York: W. W Norton and Company.
    Witten, I. H., & Frank, E. (2005). Data mining: practical machine learning tools and techniques., Morgan Kaufmann Series in Data Management Systems San Francisco: Elsevier.