Science and Development Network (SciDev.Net)
Most of the previous works of network visualization analysis depends on node graph and adjacency matrix in connection with an aspect of network topology. However, the representing node and matrix are difficult to understand the relationship between network nodes, because the node's interaction on network is presented by a complicated node graph. In order to overcome this limitation, this paper proposes a new visualization method to represent hierarchy relationship of network nodes for analysis of data network. The proposed method uses data node correlation to construct hierarchy node relationship which can intuitively understand node interaction.