Abstract
This demo showcase the Community Extraction Cloud (CEC) system. The key idea is to drop weak-tie nodes by efficiently extracting core nodes based on the novel concept of asymptotically equivalent structures (AES) and parallel AES mining algorithm. Meanwhile, to facilitate storing and processing of massive networks, several cloud computing technologies including HDFS, Katta, and Hama are seamlessly integrated into CEC system.
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© 2013 Springer-Verlag Berlin Heidelberg
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Wu, Z., Tao, H., Wang, Y., Fang, C., Cao, J. (2013). A Cloud System for Community Extraction from Super-Large Scale Social Networks. In: Lin, X., Manolopoulos, Y., Srivastava, D., Huang, G. (eds) Web Information Systems Engineering – WISE 2013. WISE 2013. Lecture Notes in Computer Science, vol 8181. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41154-0_38
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DOI: https://doi.org/10.1007/978-3-642-41154-0_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-41153-3
Online ISBN: 978-3-642-41154-0
eBook Packages: Computer ScienceComputer Science (R0)