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SAN FRANCISCO | 10.22.2014 
Dynamic Graphs 
Joe Parry 
powered by
Outline 
• End-Users need to see graphs 
• Most graphs are dynamic in two senses: 
– the end-user needs to search and expl...
KeyLines 
KeyLines is a commercial SDK for 
building fully customized graph 
visualization applications for 
end-users 
• ...
Botnet Traffic 
KeyLines
Twitter Networks
Email Traffic
Healthcare Claims
Graphs are dynamic 
• Almost all graph data has time stamps 
• The graph changes over time
What can happen to a graph over time? 
• Node addition 
• Node removal 
• Link addition 
• Link removal 
• Activity increa...
Previous Technique: Small Multiples
Previous Technique: 3D Slices
Our Approach
Summary 
• End-Users need to see graphs 
• Most graphs are dynamic 
• Great visualizations can engage and excite
Cambridge Intelligence 
• Founded in 2011 
• Offices in Cambridge UK & Boston USA 
• We help organizations understand conn...
Thanks! 
info@cambridge-intelligence.com 
@CambridgeIntel Cambridge-Intelligence.com
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GraphConnect 2014 SF: Dynamic Graphs: The Future of Neo4j Visualization

GraphConnect 2014 SF: Dynamic Graphs: The Future of Neo4j Visualization

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GraphConnect 2014 SF: Dynamic Graphs: The Future of Neo4j Visualization

  1. 1. SAN FRANCISCO | 10.22.2014 Dynamic Graphs Joe Parry powered by
  2. 2. Outline • End-Users need to see graphs • Most graphs are dynamic in two senses: – the end-user needs to search and explore the graph interactively – the graph itself changes over time • An impressive graph application – can engage and excite your end-users – can get corporate buy-in to the graph approach
  3. 3. KeyLines KeyLines is a commercial SDK for building fully customized graph visualization applications for end-users • Runs in any browser • Works on any device • Powerful functionality • A fast developer experience • Simple deployment • Easy maintenance
  4. 4. Botnet Traffic KeyLines
  5. 5. Twitter Networks
  6. 6. Email Traffic
  7. 7. Healthcare Claims
  8. 8. Graphs are dynamic • Almost all graph data has time stamps • The graph changes over time
  9. 9. What can happen to a graph over time? • Node addition • Node removal • Link addition • Link removal • Activity increase/decrease on nodes/links (flow) • Structural changes – community formation – dissolution of communities
  10. 10. Previous Technique: Small Multiples
  11. 11. Previous Technique: 3D Slices
  12. 12. Our Approach
  13. 13. Summary • End-Users need to see graphs • Most graphs are dynamic • Great visualizations can engage and excite
  14. 14. Cambridge Intelligence • Founded in 2011 • Offices in Cambridge UK & Boston USA • We help organizations understand connected data – KeyLines – our award-winning graph visualization SDK – Niche developer services – Expert know-how
  15. 15. Thanks! info@cambridge-intelligence.com @CambridgeIntel Cambridge-Intelligence.com

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