@inproceedings{giatsidis2011evaluating, abstract = {Community sub graphs are characterized by dense connections or interactions among its nodes. Community detection and evaluation is an important task in graph mining. A variety of measures have been proposed to evaluate the quality of such communities. In this paper, we evaluate communities based on the k-core concept, as means of evaluating their collaborative nature - a property not captured by the single node metrics or by the established community evaluation metrics. Based on the k-core, which essentially measures the robustness of a community under degeneracy, we extend it to weighted graphs, devising a novel concept of k-cores on weighted graphs. We applied the k-core approach on large real world graphs - such as DBLP and report interesting results.}, author = {Giatsidis, Christos and Thilikos, Dimitrios M. and Vazirgiannis, Michalis}, booktitle = {Advances in Social Networks Analysis and Mining (ASONAM), 2011 International Conference on}, doi = {10.1109/ASONAM.2011.65}, interhash = {ccc1059e51e6c0671f9987824e7c9f92}, intrahash = {e635975e729c3aee7575db0485f3e853}, pages = {87-93}, title = {Evaluating Cooperation in Communities with the k-Core Structure}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5992567&tag=1}, year = 2011 }