A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is `application/pdf`

.

##
###
Method for efficiently orthogonalizing the eigenvectors of the Laplacian matrix to estimate social network structure

2020
*
Nonlinear Theory and Its Applications IEICE
*

a) hirakura-naoki@ed.tmu.ac.jp b) takano@hiroshima-cu.ac.jp c) aida@tmu.ac.jp Abstract: The structure of social networks or human relationships is difficult to understand since we cannot observed their links and link weights directly. The network resonance method was proposed to obtain information on the unknown Laplacian matrix representing the social network structure. This method extracts information on the eigenvalues and eigenvectors of the Laplacian matrix by observing user dynamics on

doi:10.1587/nolta.11.60
fatcat:exqwn6fycbchvpwx7d7tc26xkq