論文

査読有り
2021年7月

Visualization of sub-network sets by iterative graph sampling from large scale networks

The 25th International Conference Information Visualisation (IV2021)
  • Namiko Toriyama
  • ,
  • Mitsuo Yoshida
  • ,
  • Takayuki Itoh

記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/IV53921.2021.00011

Multi-layer network visualization techniques have been developed so that users can firstly overview the largescale network and then explore the interesting parts of the data. Meanwhile, local features of the networks are often more interesting rather than their overall structures. It often happens with particular kinds of applications such as social networks. We developed a visualization technique for such types of large-scale networks. The technique iteratively applies a graph sampling algorithm to extract small-scale sub-networks from a large-scale network and then visualize the features of the sub-networks as hierarchically arranged icons. User-specified sub-networks are then visualized by applying our own graph visualization technique. Using networks generated from Twitter data, we actually visualize small-scale networks using the proposed method.

リンク情報
DOI
https://doi.org/10.1109/IV53921.2021.00011
ID情報
  • DOI : 10.1109/IV53921.2021.00011

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