Software and network data used in the experimental study described in Appice et al. (2017) are available.

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software.zip contains:
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	-software : jars (conera.jar and dalpal.jar)
	-SoftwareREADME : a description of software and a guideline to run implemented algorithms 
	(cross-validation, contiguity constrained clustering, sampling, conera, random, alfnet, dal and pal) 
	N.B. graph clustering is that run by using R environment (https://cran.r-project.org/web/packages/igraph/index.html)
	- Example experimental environment to perform active learning with conera, random, alfnet, dal and pal on MF dataset

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datasets.zip contains
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	arff : data networks
	clustering/CC : contiguity-constraint cluster structure of training data
	clustering/GC : graph-based cluster structure of training data
	cv : 5-fold Cross Validation of data networks
	distances : weighted edge information
	sample/CCSample : contiguity-constraint cluster-based initial samples of training data (used by conera)
	sample/GCSample : graph cluster-based initial samples of training data (used by alfnet)
	sample/RandomSample : random initial samples of training data (used by Random, DAL and PAL)
	*.ini : ini configuration files specifying the sample pool size, the budget, base learner, disagreement measure, collective schema