Brief overview
Previously, was illustrated the general concept of using graph visualization to provide a more intuitive and convenient way for users to navigate and explore the vast amount of information available on the platform.
In that concept, two graphs were used:
- Global graph - aggregates all graphs for each article available on the PrivateAI platform.
- Word graph - local graph that is extracted from the global graph with the selected word at its center.
For now, in order to increase the convenience of global graph search, we propose to implement a Shared context graph which will help users navigate through different levels of graphs.
Shared context graph
Shared context graph - is an alternative representation of word graph.
It works as follows:
- Search of all article graphs containing the selected word
- The found graphs are combined together to form a shared context graph
- To prevent graph overload, when we have a very common/popular word, we divided all these article graphs into batches of N (configurable parameter) to show the combination of only N graphs at once
- User can switch between these batches in the ‘page’ view
This way allows visualizing the overall context in which the selected word occurs and exploring the links between it and other words in the context of different articles.
Examples
1. Example of shared word graph for word “Age”
2. Example for word “Evolution”:
