2009 International Conference on Advances in Social Network Analysis and Mining AHSCAN: Agglomerative Hierarchical Structural Clustering Algorithm for Networks Athens, Greece July 20-July 22 ISBN: 978-0-7695-3689-7
Many systems in sciences, engineering and nature can be modeled as networks. Examples include the internet, WWW and social networks. Finding hidden structures is important for making sense of complex networked data. In this paper we present a new network clustering method that can find clusters in an agglomerative fashion using structural similarity of vertices in the given network. Experiments conducted on real datasets demonstrate promising performance of the new method.
Index Terms:
Structual Clustering Algorithm, Social Networks, Community Structures, Hierarchical Clustering Algorithms
Citation:
Nurcan Yuruk, Mutlu Mete, Xiaowei Xu, Thomas A.J. Schweiger, "AHSCAN: Agglomerative Hierarchical Structural Clustering Algorithm for Networks," asonam, pp.72-77, 2009 International Conference on Advances in Social Network Analysis and Mining, 2009 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||