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[24] I.S. Dhillon, Y. Guan, and B. Kulis. Weighted graph cuts without eigenvectors:
a multilevel approach. IEEE Transactions on Pattern Analysis and Machine
Intelligence, 29(11):1944–1957, 2007.
[25] W.E. Donath and A.J. Hoffman. Algorithms for partitioning of graphs and
computer logic based on eigenvectors of connection matrices. IBM Technical
Disclosure Bulletin, 15(3):938–944, 1972.
[26] W.E. Donath and A.J. Hoffman. Lower bounds for the partitioning of graphs.
IBM Journal of Research and Development, 17(5):420–425, 1973.
[27] X. Dong, P. Frossard, P. Vandergheynst, and N. Nefedov. Clustering with
Multi-Layer Graphs: A Spectral Perspective. IEEE Transactions on Signal
Processing, 60(11):5820–5831, 2012.
[28] X. Dong, P. Frossard, P. Vandergheynst, and N. Nefedov. Clustering on multilayer graphs via subspace analysis on Grassmann manifolds. IEEE Transactions on Signal Processing, 62(4):905–918, 2014.
[29] P. Doreian, V. Batagelj, and A. Ferligoj. Generalized blockmodeling, volume 25. Cambridge University Press, 2005.
[30] R.I.M. Dunbar. Neocortex size as a constraint on group size in primates.
Journal of Human Evolution, 22(6):469–493, 1992.
[31] R.I.M. Dunbar. Coevolution of neocortical size, group size and language in
humans. Behavioral and Brain Sciences, 16(04):681–694, 1993.
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10.1023/B:VISI.0000022288.19776.77.
[34] M. Fiedler. Algebraic connectivity of graphs. Czechoslovak Mathematical
Journal, 23(2):298–305, 1973.
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between nodes of a graph, with application to collaborative recommendation.
In The 2005 IEEE/WIC/ACM International Conference on Web Intelligence,
pages 550–556. IEEE, 2005.
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dynamic social networks based on multiobjective immune algorithm. Journal
of Computer Science and Technology, 27(3):455–467, 2012.
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