SEARCH

SEARCH BY CITATION

References

  • Adamic, L. A. & Adar, E. (2003). Friends and neighbors on the web. Social Networks, 25(3), 211230.
  • Björneborn, L. (2006). 'Mini small worlds' of shortest link paths crossing domain boundaries in an academic Web space. Scientometrics, 68(3), 395414.
  • Burt, R. S. (2000). Decay functions. Social Networks, 22(1), 128.
  • Goussevskaia, O., Kuhn, M., & Wattenhofer, R. (2007). Layers and hierarchies in real virtual networks. In A. Cuzzocrea (Ed.), Proc. of the IEEE/WIC/ACM International Conference on Web Intelligenceem, 8994.
  • Huang, Z. (2006). Link prediction based on graph topology: The predictive value of the generalized clustering coefficient. In Proc. of KDD '06 Workshop on Link Analysis: Dynamics and Static of Large Networks (LinkKDD2006).
  • Huang, Z., Li, X., & Chen, H. (2005). Link prediction approach to collaborative filtering. In Proc. of the 5th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL '05), 141142. NY: ACM Press.
  • Kashima, H. & Abe, N. (2006). A parameterized probabilistic model of network evolution for supervised link prediction. In Proc. of the 2006 IEEE International Conference on Data Mining (ICDM 2006), 340349.
  • Katz, L. (1953). A new status index derived from sociometric analysis. Psychometrika, 18(1), 3943.
  • Kretschmer, H. (2004). Author productivity and geodesic distance in co-authorship networks, and visibility on the Web. Scientometrics, 60(3), 409420.
  • Liben-Nowell, D. & Kleinberg, J. (2003). The link-prediction problem for social networks. In Proc. of the 12th International Conference on Information and Knowledge Management (CIKM), 556559.
  • Liben-Nowell, D. & Kleinberg, J. (2007). The link-prediction problem for social networks. Journal of the American Society for Information Science and Technology, 58(7), 10191031.
  • Newman, M. E. (2003). The structure and function of complex networks. SIAM Review, 45(2), 167256.
  • Otte, E. & Rousseau, R. (2002). Social network analysis: a powerful strategy, also for the information sciences. Journal of Information Science, 28(6), 441453.
  • Popescul, A., & Ungar, L. H. (2003). Structural logistic regression for link analysis. In S. D'eroski et al. (Eds.), Proc. of the 2nd International Workshop on Multi-Relational Data Mining (MRDM-2003), 92106.
  • Rattigan, M. J. & Jensen, D. (2005). The case for anomalous link discovery. ACM SIGKDD Explorations Newsletter, 7(2), 4147.
  • Van Rijsbergen, C. J. (1979). Information Retrieval. London: Butterworths.
  • Wilson, C. S. (1999). Informetrics. Annual Review of Information Science and Technology, 34, 107247.