Abstract
The conceptual framework is presented for dynamic visualization of evolving networks which represent a historical transition of social relationships and interactions. We consider a sequence of large number of networks embedded in a stack of 2-dimensional layers, and provide an alternative viewpoint of traversing a lifetime of a system along the third axis as well as staring an each snapshot of a graph individually. In general, social systems are described as a complex emerging system based on the aggregation of individual human behaviors caused by their purpose and whim. As a result, system dynamics has intrinsic contingency, which makes identifying the causal efficacy of social events very difficult. The objective of the proposed research is to tackle such issues by developing a methodological tool for visualizing the historical changes of network structures over time, space and different analytical conditions. We discuss a cooperative working between a graph layout algorithm of each snapshot and a time series representation of superposition of networks under interactive topological operations.
