Complex Opinion Network Correlation Clustering

Abstract:

In this paper, 2112 specific correlation data of 2 types cluster were selected as sample to build a weighted network, including each hour sample is represented by a vertex and a correlation between 2 clusters is represented by an edge. We analysis this network structure by complex network theory and computer method. We found that the correlation clusters of 2 media have an important impact on this complex network, and the specific sample follow a frequency distribution of the weighted degrees. Applying the method of k-core shows small groups in this complex network, also the modularity calculating help us find out the key cluster, the correlation cluster, the medium cluster and the interaction path of them. An apparently small-world effect has found by the shortest path calculating effectively. All of these may provide a scientific and reasonable reference for further research.

• Periodical: Applied Mechanics and Materials (Volumes 644-650)
• Pages: 2846-2849
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.644-650.2846
• Online since: September 2014
• Authors: Fu Yan Wang*, Sha Qiu, Qing Li
• Keywords: Complex Network, Correlation Cluster, Structure Hole

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