@article{atzmueller2011enhancing, author = {Atzmueller, Martin and Benz, Dominik and Doerfel, Stephan and Hotho, Andreas and Jäschke, Robert and Macek, Bjoern Elmar and Mitzlaff, Folke and Scholz, Christoph and Stumme, Gerd}, booktitle = {it - Information Technology}, comment = {doi: 10.1524/itit.2011.0631}, doi = {10.1524/itit.2011.0631}, interhash = {e57bff1f73b74e6f1fe79e4b40956c35}, intrahash = {1dc34c1620c45a9bbd548bb73f989aea}, issn = {16112776}, journal = {it - Information Technology}, month = may, number = 3, pages = {101--107}, publisher = {Oldenbourg Wissenschaftsverlag GmbH}, title = {Enhancing Social Interactions at Conferences}, url = {http://dx.doi.org/10.1524/itit.2011.0631}, volume = 53, year = 2011 } @inproceedings{scripps2007roles, abstract = {A node role is a subjective characterization of the part it plays in a network structure. Knowing the role of a node is important for many link mining applications. For example, in Web search, nodes that are deemed to be authorities on a given topic are often found to be most relevant to the user's queries. There are a number of metrics that can be used to assign roles to individual nodes in a network, including degree, closeness, and betweenness. None of these metrics, however, take into account the community structure that underlies the network. In this paper we define community-based roles that the nodes can assume (ambassadors, big fish, loners, and bridges) and show how existing link mining techniques can be improved by knowledge of such roles. A new community-based metric is introduced for estimating the number of communities linked to a node. Using this metric and a modification of degree, we show how to assign community-based roles to the nodes. We also illustrate the benefits of knowing the community-based node roles in the context of link-based classification and influence maximization.}, acmid = {1348553}, address = {New York, NY, USA}, author = {Scripps, Jerry and Tan, Pang-Ning and Esfahanian, Abdol-Hossein}, booktitle = {Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis}, doi = {http://doi.acm.org/10.1145/1348549.1348553}, interhash = {bc67321ee8dc1e7db1c3c234833a5519}, intrahash = {4435192c25bfc86b47f030011f4ce1ef}, isbn = {978-1-59593-848-0}, location = {San Jose, California}, numpages = {10}, pages = {26--35}, publisher = {ACM}, series = {WebKDD/SNA-KDD '07}, title = {Node roles and community structure in networks}, url = {http://doi.acm.org/10.1145/1348549.1348553}, year = 2007 }