Statistical Methods for the Analysis of Network Data

نویسندگان

  • Johan Koskinen
  • Hugo Zanghi
  • Franck Picard
  • Vincent Miele
  • Christophe Ambroise
  • Eric D. Kolaczyk
  • Eric P. Xing
  • Krista J. Gile
  • Edoardo Airoldi
  • Joseph Blitzstein
  • Ben Olding
  • Pavel N. Krivitsky
  • Mark S. Handcock
  • Martina Morris
  • Thomas Brendan Murphy
  • Alessia Annibale
  • Anthony Coolen
  • Declan Mungovan
  • Enda Howley
  • Jim Duggan
  • Carlos Andre Reis
  • Markus Helfert
  • Nitai Mukhopadhyay
چکیده

14:00-14:45 " Network-based auto-probit modeling with application to protein function prediction " Eric D. Kolaczyk 09:35-10:10 " Quantifying and comparing complexity of cellular networks: structure beyond degree statistics " Alessia Annibale and Anthony Coolen 10:10-10:45 " Node and link roles in protein-protein interaction networks " " Using Distinct Aspects of Social Network Analysis to Improve the Customer Loyalty Process " Carlos Andre Reis Pinheiro and Markus Helfert " Translating evidence into practice: a shared priority in public health? " " An inferential approach for one-sample gene network comparisons: assessing dissimilarity via a resampled local covering metric " Phillip Yates and Nitai Mukhopadhyay " Analysis of a web-based network of educators " " Inferences for Differential Transmission Rates of an Infectious Disease on a Network " Rachel Schutt " Uncertainties in network analysis due to the thresholding problem " Andrew Thomas " Sensitivity of Spectral Clustering. Similarities between Spectral Clustering and Multidimen-sional Scaling " Zhivko Stoyanov 6

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تاریخ انتشار 2009