KeyLines: Interact with your graphMarco Liberati

Why data visualization?

• The user is sitting on the data

• Wants to make meaningful decisions

• A single number is not enough for

that

Data is invisible

To be seen, data must be VISUALLY ENCODED

Can I just look at the data?

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

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?

There are several design options for graph

visualisation

Use a matrix

Edge bundling

Hive plots

Classic node-link

I want to visualize a larger network

Deal with big networks is not easy.

Here some tips to improve the experience:

•Use colors

•Use filters

•Aggregate nodes and links

•Info on demand

•Expand on demand

Use colors

Use filters

Aggregate nodes and links

Info on demand

Expand on demand

Reference Architecture

Graph Database

Reference Architecture

Search Index

User Authentication(eg Active Directory)

Chart Store

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

Cambridge Intelligence

Start-up, founded May 2011We make network visualisation tools

Combined 40+ years developing and designing visual tools for law enforcement and national security

Joe Kaush MarcoAndrew Corey PhilNate

Ex-

Cambridge Intelligence

Thanks!

info@keylines.com

@key_lines@CambridgeIntel

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