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tenClustS - A Summarization Method for Time-evolving Networks
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README.md
commpression_cost.m
compacttensor.m
demo.m
lifted_adjacency_matrix.m
online_summarization.m
summarize.m
summary_error.m
synthdata.mat

README.md

tenClustS

SOURCE

Dynamic Graph Summarization: A Tensor Decomposition Approach
Sofia Fernandes, Hadi Fanaee-T and João Gama

DESCRIPTION

MATLAB implementation of kM_euc, kM_cos and tenClustS methods   

FILES

For illustration purposes we provide a sythetic time-evolving network (synthdata.mat) and a demo file (demo.m).

MANUSCRIPT DATASETS

The datasets used in the work are publicly available and can be found in:
Enron: 
	Priebe, C.E., Conroy, J.M., Marchette, D.J., Park, Y.: Scan statistics on enron graphs.
	Computational & Mathematical Organization Theory 11(3), 229-247 (2005) 

	URL: http://cis.jhu.edu/~parky/Enron/

Friends&Family Call log:
	Aharony, N., Pan, W., Ip, C., Khayal, I., Pentland, A.: Social fMRI: Investigating and
	shaping social mechanisms in the real world. Pervasive and Mobile Computing 7(6), 643{
	659 (2011) 

	URL: http://realitycommons.media.mit.edu/friendsdataset.html

DBLP: 
	Desmier, E., Plantevit, M., Robardet, C., Boulicaut, J.F.: Cohesive co-evolution patterns
	in dynamic attributed graphs. In: Discovery Science, vol. 7569, pp. 110{124. Springer
	(2012)

	URL: http://liris.cnrs.fr/marc.plantevit/doku/doku.php?id=data_sets

Hepth: 
	Leskovec, J., Kleinberg, J., Faloutsos, C.: Graphs over time: densification laws, shrinking
	diameters and possible explanations. In: Proceedings of the eleventh ACM SIGKDD
	international conference on Knowledge discovery in data mining, pp. 177{187. ACM (2005)

	Rossi,Ryan A., Ahmed, Nesreen K.:The Network Data Repository with Interactive Graph Analytics
	and Visualization. In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial 
	Intelligence (2015)

	http://networkrepository.com/ca-cit-HepTh.php

InfectiousPatterns: 
	Isella, L., Stehl, J., Barrat, A., Cattuto, C., Pinton, J.F., den Broeck, W.V.: What's in a
	crowd? analysis of face-to-face behavioral networks. Journal of Theoretical Biology 271(1),
	166 { 180 (2011)

	URL: http://www.sociopatterns.org/datasets/infectious-sociopatterns-dynamic-contact-networks/

(the pre-processing steps are described in the manuscript).

DEPENDECIES

Our code makes use of the Tensor Toolbox for Matlab, which is avialable at http://www.sandia.gov/~tgkolda/TensorToolbox/.

CONTACT

To report any bug, comment or suggestion, contact me at sdsf@inesctec.pt.
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