The document discusses Cambridge Intelligence's Keylines, a network visualization tool designed for dynamic networks. It highlights the importance of visualizing changes in networks over time, such as node and link alterations, and the benefits of using Keylines to navigate temporal data effectively. The presentation emphasizes overcoming static visualization limitations and enabling users to identify trends and patterns more dynamically.

1. Visualizing Dynamic Networks
Joe Parry

2. Introductions
Cambridge Intelligence
• Start-up
• Founded May 2011
• Network visualization
specialists
KeyLines
• JavaScript network
visualization component
• HTML5
• Available for white label
or internal corporate
projects
• Commercial license

3. Webinar outline
• Why visualize dynamic networks?
• Previous attempts
– Side by side
– Small multiples
– Animation
• Navigating time
• Interactive dynamic networks with
KeyLines

4. Botnet Tra"c

5. Twitter Connections

6. Email Communications

7. Healthcare Claims

8. • All these networks have one thing in
common:
– all data points have time stamps
– we want to understand how the network is
changing over time

9. What can happen to a network
over time?
• Nodes added
• Nodes removed
• Links added
• Links removed
• Flow
• Activity increase/decrease on nodes/links
• Structural changes
– community formation
– dissolution of communities

10. PREVIOUS TECHNIQUES

11. ‘Small Multiples’

12. ‘Small Multiples’
Federico (2011)

13. Federico (2011)

14. VisLink (Collins)

15. Ahn (2011)

16. GraphDiaries (Bach) 2013

17. TIME NAVIGATION

19. Our Approach

20. Putting it all together

21. KeyLines demos

22. Advantages
• Overcome limitations of static
visualizations
• Unlock a new dimension of your data
• Instantly zoom to periods of interest
• Find trends and patterns in your data
• Bring innovation to your end users

23. Thanks for watching!
info@keylines.com
@key_lines
@CambridgeIntel
Any Questions?