| Author | Title | Year | Journal/Proceedings | Reftype | DOI/URL |
|---|---|---|---|---|---|
| Scripps, J., Tan, P.-N. & Esfahanian, A.-H. | Node roles and community structure in networks | 2007 | Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis | inproceedings | DOIURL |
| 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. | |||||
BibTeX:
@inproceedings{scripps2007roles,
author = {Scripps, Jerry and Tan, Pang-Ning and Esfahanian, Abdol-Hossein},
title = {Node roles and community structure in networks},
booktitle = {Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis},
publisher = {ACM},
year = {2007},
pages = {26--35},
url = {http://doi.acm.org/10.1145/1348549.1348553},
doi = {http://doi.acm.org/10.1145/1348549.1348553}
}
|
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