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A topic person multi-polarization method using friendship network analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2013) 7814 LNCS 688-692
DOI: 10.1007/978-3-642-36973-5_61
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Abstract

In this paper, we leverage competing viewpoints of the persons mentioned in a set of topic documents. We propose a method to construct a friendship network of the persons and present a graph-partition based multi-polarization algorithm to group the persons into clusters with competing viewpoints. © 2013 Springer-Verlag.

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Chen, Z. Y., & Chen, C. C. (2013). A topic person multi-polarization method using friendship network analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7814 LNCS, pp. 688–692). https://doi.org/10.1007/978-3-642-36973-5_61

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