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.
Description
Community Assessment Using Evidence Networks - Springer
%0 Book Section
%1 mitzlaff2011community
%A Mitzlaff, Folke
%A Atzmueller, Martin
%A Benz, Dominik
%A Hotho, Andreas
%A Stumme, Gerd
%B Analysis of Social Media and Ubiquitous Data
%D 2011
%E Atzmueller, Martin
%E Hotho, Andreas
%E Strohmaier, Markus
%E Chin, Alvin
%I Springer Berlin Heidelberg
%K aboutBibSonomy community evidence networks tagging
%P 79-98
%R 10.1007/978-3-642-23599-3_5
%T Community Assessment Using Evidence Networks
%U http://dx.doi.org/10.1007/978-3-642-23599-3_5
%V 6904
%X 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.
%@ 978-3-642-23598-6
@incollection{mitzlaff2011community,
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.},
added-at = {2014-10-01T16:58:25.000+0200},
author = {Mitzlaff, Folke and Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
biburl = {https://www.bibsonomy.org/bibtex/2a1c0fd5a9f8c5ddb33b3196927409f36/sdo},
booktitle = {Analysis of Social Media and Ubiquitous Data},
description = {Community Assessment Using Evidence Networks - Springer},
doi = {10.1007/978-3-642-23599-3_5},
editor = {Atzmueller, Martin and Hotho, Andreas and Strohmaier, Markus and Chin, Alvin},
interhash = {1ef065a81ed836dfd31fcc4cd4da133b},
intrahash = {a1c0fd5a9f8c5ddb33b3196927409f36},
isbn = {978-3-642-23598-6},
keywords = {aboutBibSonomy community evidence networks tagging},
language = {English},
pages = {79-98},
publisher = {Springer Berlin Heidelberg},
series = {Lecture Notes in Computer Science},
timestamp = {2014-10-01T16:58:25.000+0200},
title = {Community Assessment Using Evidence Networks},
url = {http://dx.doi.org/10.1007/978-3-642-23599-3_5},
volume = 6904,
year = 2011
}