Issue No. 04 - July/August (2011 vol. 26)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIS.2011.44
Chunsheng (Victor) Fang , University of Cincinnati
Mojtaba Kohram , University of Cincinnati
Anca L. Ralescu , University of Cincinnati
<p>The temporal regression model for the dynamic graph link-prediction problem considered here rests on spectral graph theory and low-rank approximation for the graph Laplacian matrix.</p>
intelligent systems, dynamic graph analysis, low-rank approximation, spectral methods, social networks, link prediction, statistical models, ARMA
M. Kohram, C. (. Fang and A. L. Ralescu, "Spectral Regression with Low-Rank Approximation for Dynamic Graph Link Prediction," in IEEE Intelligent Systems, vol. 26, no. , pp. 48-53, 2011.