The first three graph visualizations are based on Wikipedia content. In the graph each node represents a Wikipedia page, while each edge represents a link between two Wikipedia pages. Furthermore, we extract for each Wikipedia page respectively graph node an icon representing the page content.
Navigating to the Wikipedia root topic expands the neighborhood of encyclopedia concepts and cross-references:
Selecting the IBM article node highlights corporate history links and related computing milestones:
The second three graph visualizations are based on our custom content management system Infoterm (see Hyperkit Software for more information). The content management system allows one to create graph nodes with associated icon and rich text content. Furthermore, graph edges can be added easily between any nodes.
Pivoting to a colleague node reveals shared research projects and organizational affiliations:
Similarly, centering the graph on an industry partner node such as Infineon displays connected collaborations and topics:
We hope that we have attracted your interest on our JavaScript graph library with this article. If you are seeking for intuitive and fun graph exploration techniques then we might be the right partner for you. Contact us any time via e-mail under georg@hyperkit-software.com. Cheers!