Community mining is a prominent approach for identifying (user) communities in social and ubiquitous contexts. While there are a variety of methods for community mining and detection, the effective evaluation and validation of the mined communities is usually non-trivial. Often there is no evaluation data at hand in order to validate the discovered groups.

@inproceedings{mitzlaff2011community, author = {Mitzlaff, Folke and Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd}, title = {Community Assessment Using Evidence Networks}, editor = {Atzmueller, Martin and Hotho, Andreas and Strohmaier, Markus and Chin, Alvin}, booktitle = {Analysis of Social Media and Ubiquitous Data}, series = {Lecture Notes in Computer Science}, publisher = {Springer Berlin Heidelberg}, year = {2011}, volume = {6904}, pages = {79-98}, url = {http://dx.doi.org/10.1007/978-3-642-23599-3_5}, doi = {10.1007/978-3-642-23599-3_5}, isbn = {978-3-642-23598-6}, keywords = {2011, COMMUNE, evaluation, evidence, myown, networks}, abstract = {Community mining is a prominent approach for identifying (user) communities in social and ubiquitous contexts. While there are a variety of methods for community mining and detection, the effective evaluation and validation of the mined communities is usually non-trivial. Often there is no evaluation data at hand in order to validate the discovered groups.} }

%0 = inproceedings %A = Mitzlaff, Folke and Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd %B = Analysis of Social Media and Ubiquitous Data %D = 2011 %I = Springer Berlin Heidelberg %T = Community Assessment Using Evidence Networks %U = http://dx.doi.org/10.1007/978-3-642-23599-3_5