We propose a "layered structured network diagram," which consists of layers of time differences. We have implemented a tool called "NeL2" for handling layered structured network diagrams. Layered structured network diagrams have multiple accumulated layers and are not single diagrams. Using this layered structure, time differences can be included in one diagram. In addition, various type of information, such as the overall tendency in a diagram during a specific period of time, can be visualized.
rnWe used layered structured network diagrams to show the co-authorship network of academic literature. Changes in the co-authorship network become visible using the layered structured network diagram. We can read various information such as changes of active research communities and other phenomena. In addition to co-authorship networks, the layered structured network diagram can be applied to the visualization of various data, such as idea processors, changes of Web sites, and others.
我们提出了一个“分层的结构化网络图”，它由时差层组成。我们已经实现了一个名为“ NeL 2 ”的工具，用于处理分层的结构化网络图。分层结构化网络图具有多个累积层，而不是单个图。使用这种分层结构，可以将时差包含在一张图中。此外，还可以显示各种类型的信息，例如图表在特定时间段内的总体趋势。 rn 我们使用分层结构化网络图来显示学术界的共同作者网络文献。使用分层结构化网络图，可以看到共同作者网络中的更改。我们可以阅读各种信息，例如活跃的研究社区的变化和其他现象。除了共同作者网络之外，分层结构化网络图还可以应用于各种数据的可视化，例如思想处理器，网站更改等。
University of Tsukuba, Tsukuba, Ibaraki, Japan;
机译：神经元2
