Big Data & Graphs in Rome
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Transcript of Big Data & Graphs in Rome
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KeyLines: Interact with your graphMarco Liberati
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Why data visualization?
• The user is sitting on the data
• Wants to make meaningful decisions
• A single number is not enough for
that
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Data is invisible
To be seen, data must be VISUALLY ENCODED
Can I just look at the data?
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Quantitative Ordinal Nominal
More Accurate
Less Accurate
Quantitative Ordinal Nominal
Position Position Position
Length Density Hue
Angle Saturation Density
Slope Hue Saturation
Area Length Shape
Density Angle Length
Saturation Slope Angle
Hue Area Slope
Shape Shape Area
Visual encoding by data type
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Why graph visualization then?
Graphs can give better answers to
these kind of question:
•What depends on what?
•What’s the flow?
•Where are bottlenecks/risks?
•What’s the impact of this?
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There are several design options for graph
visualisation
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Use a matrix
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Edge bundling
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Hive plots
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Classic node-link
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I want to visualize a larger network
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Deal with big networks is not easy.
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Here some tips to improve the experience:
•Use colors
•Use filters
•Aggregate nodes and links
•Info on demand
•Expand on demand
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Use colors
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Use filters
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Aggregate nodes and links
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Info on demand
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Expand on demand
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Reference Architecture
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Graph Database
Reference Architecture
Search Index
User Authentication(eg Active Directory)
Chart Store
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Visualise and analyse networks in the browser•Communication networks•Social networks•Fraud networks
Features•Pure HTML5•Works on IE6, 7, 8 via Flash•Graph layouts•Graph analytics
– SNA measures, path finding & more•Full event model•Full workflow support
– Image generation for reports, undo stack, etc
• Very quick integration time
• Thorough documentation• Good performance• Great support
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Cambridge Intelligence
Start-up, founded May 2011We make network visualisation tools
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Combined 40+ years developing and designing visual tools for law enforcement and national security
Joe Kaush MarcoAndrew Corey PhilNate
Ex-
Cambridge Intelligence
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Thanks!
@key_lines@CambridgeIntel
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