%0 Conference Paper %1 scripps2007roles %A Scripps, Jerry %A Tan, Pang-Ning %A Esfahanian, Abdol-Hossein %B Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 Workshop on Web Mining and Social Network Analysis %C New York, NY, USA %D 2007 %I ACM %K analysis community network role sna social structure %P 26--35 %R 10.1145/1348549.1348553 %T Node Roles and Community Structure in Networks %U http://doi.acm.org/10.1145/1348549.1348553 %X 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. %@ 978-1-59593-848-0

@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}, added-at = {2015-02-17T11:27:55.000+0100}, address = {New York, NY, USA}, author = {Scripps, Jerry and Tan, Pang-Ning and Esfahanian, Abdol-Hossein}, biburl = {https://www.bibsonomy.org/bibtex/29901f26136cd36bf71c584d7edb52eee/jaeschke}, booktitle = {Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 Workshop on Web Mining and Social Network Analysis}, doi = {10.1145/1348549.1348553}, interhash = {bc67321ee8dc1e7db1c3c234833a5519}, intrahash = {9901f26136cd36bf71c584d7edb52eee}, isbn = {978-1-59593-848-0}, keywords = {analysis community network role sna social structure}, location = {San Jose, California}, numpages = {10}, pages = {26--35}, publisher = {ACM}, series = {WebKDD/SNA-KDD '07}, timestamp = {2015-02-17T11:27:55.000+0100}, title = {Node Roles and Community Structure in Networks}, url = {http://doi.acm.org/10.1145/1348549.1348553}, year = 2007 }