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[51] J. Leskovec, D. Huttenlocher, and J. Kleinberg. Signed networks in social
media. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pages 1361–1370. ACM, 2010.
[52] L. Li and J. Zhang. Information clustering method in social network. In
Strategic Technology (IFOST), 2011 6th International Forum on, volume 2,
pages 1104 –1108, Aug. 2011.
[53] M. Lichman. UCI machine learning repository. http://archive.ics.uci.edu/ml,
2013.
[54] X. Liu, X. Yong, and H. Lin. An improved spectral clustering algorithm based
on local neighbors in kernel space. Computer Science and Information Systems, 8(4):1143–1157, 2011.
[55] D. Luo, H. Huang, C. Ding, and F. Nie. On the eigenvectors of p-Laplacian.
Machine Learning, 81(1):37–51, 2010.
[56] F.D. Malliaros and M. Vazirgiannis. Clustering and community detection in
directed networks: A survey. Physics Reports, 533(4):95–142, 2013.
[57] M. Meila and W. Pentney. Clustering by weighted cuts in directed graphs. In
Proceedings of the 7th SIAM International Conference on Data Mining, pages
135–144, 2007.
[58] M. Meila and J. Shi. A random walks view of spectral segmentation. In AI
and STATISTICS (AISTATS) 2001, 2001.
[59] S. Melacci and M. Belkin. Laplacian support vector machines trained in the
primal. Journal of Machine Learning Research, 12:1149–1184, March 2011.
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[63] C. Morselli, C. Gigu` ere, and K. Petit. The efficiency/security trade-off in
criminal networks. Social Networks, 29(1):143–153, 2007.
[64] C. Morselli and K. Petit. Law-enforcement disruption of a drug importation
network. Global Crime, 8(2):109–130, 2007.
[65] L. Muchnik, S. Aral, and S.J. Taylor. Social influence bias: A randomized
experiment. Science, 341(6146):647–651, 2013.
[66] P. Muthukrishnan, D.R. Radev, and Q. Mei. Edge weight regularization over
multiple graphs for similarity learning. In IEEE 10th International Conference
Data Mining, pages 374–383. IEEE, 2010.