Disclaimer: I'm a co-founder of the company
I'm interested to see if anyone's offering a large-scale graph visualization that's not the "pulsating rainbow hairball".
We're actively piloting our investigation platform with interesting teams, so please reach out: info@gr...com.
Much more interesting information is discovered during the process of dynamically building a visualization that is focused on user questions. I see with Linkurious that investigators usually need to visualize less than 1000 edges of a 1M+ edges graph to get answers.
I think you're referring to scenarios closer to why we created the visual playbook concept and our embedding APIs. Small visualizations are often a good starting point in investigative scenarios. Even better.. no visualization, just full automation. We find this thinking comes up when the investigative flow is more established and curated. With visual playbooks, teams can record & automate multistep flows, run them whenever an incident happens, take action, and share & document the results. If part of the incident involves a bunch of events, or the analysts wants to dig in, our stack won't fall over. Instead, it provides a full visual analytics session with multiple cross-linked data views.
And we're fans of Gephi. We GPU accelerated the core algorithm -- we may be coming from a different perspective and user base.