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Graph Visualization
options and latest developments

      London Neo4j meetup at Skills Matter, Feb 27, 2013


               By @Linkurious - contact@linkurio.us
Linkurious startup: a few words about us
• Jean Villedieu, CMO Linkurious
• Sébastien Heymann, CEO Linkurious
• Romain Yon, CTO Linkurious (is coding tonight)




2/17/13                                            2
Example of graph




2/17/13            3
Graphs are in our DNA
• Gephi, the leading graph analysis and exploration solution
• Democratizing network thinking
• Linkurious




2/17/13                                                        4
The best way to store and access the data of a
connected world
• Graphs are “everywhere”: conceptual view on data
• Neo4j and graph databases offer a fast and intuitive way to use data
• Social networks, recommendation engines, networked systems…




2/17/13                                                                  5
Visualization is key to understanding graphs
• Verify data
• Check algorithm
• View information in context
• Build a visual representation
• Understand relationships
• Discover information
• Find patterns
• Illustrate and communicate data




2/17/13                                        6
Global approach                          vs       Centred approach
Card, Shneiderman (Using Vision to Think, 1999)   Van Ham, Perer (2009)
1. Overview first,                                1. Search,
2. Zoom and filter,                               2. Show Context,
3. Details-on-demand.                             3. Expand on Demand.




                                                                          7
Play now: which tool for which approach?
                    Cytoscape, D3.js,
               Gephi, GraphViz, KeyLines,
                Linkurious, MentionMap,
              Neo4j server web interface,
              Neoclipse, NodeXL, Palantir,
                 Sigma.js, SocialAction,
                  Wikisway, WikiWeb...




                                             8
Graph visualization options and latest developments
Graph visualization options and latest developments
Graph visualization options and latest developments
Graph visualization options and latest developments
Graph visualization options and latest developments
Graph visualization options and latest developments
Graph visualization options and latest developments
WikiWeb
Toolkits

D3.js
Summary: which tool for which approach?
   Cytoscape, GraphViz,               Linkurious, MentionMap,
 Gephi, GraphInsight, GUESS,         Neo4j server web interface,
 NodeXL, SocialAction, Tulip,       Neoclipse, Wikisway, WikiWeb
           UCINET

      Global approach                     Centred approach




  + Toolkits to build your own App: D3.js, KeyLines, Sigma.js

                                                                   18
Global approach               vs    Centred approach
Great for:                          Great for:

Identifying communities and         Investigating entities
global properties

Finding correlations properties /   Exploring local context
structure

Communicating « wow » effect        Communicating insights



                                                              19
Global approach                   vs     Centred approach
Issues:                                   Issues:

Difficult to learn (data mining + CS +    Users must know what to search
design skills)
                                          Poor statistical insights
Poor insights with large graphs           (bias due to hidden information)
Highly sensitive to graph
                                          Orientation is difficult
incompleteness (<5% missing data
=> important bias)

Hardware limits (goodbye mobile!)
                                                                             20
Global approach                 vs   Centred approach
Use it for:                          Use it for:

Analysis at the global scale.        Database browsing to quickly
                                     find information.
Make hypotheses or try to
confirm statistical properties.      Analysis of local views.

Graphs of size < 50k nodes.          Graphs of any size.




                                                                    21
3 applications of the centred approach
Use case 1: fraud detection
Automatic outlier detection over time (Seb's Ph.D.)




Visualization of outlier-centred graphs




                                                      23
Use case 2: visual recommendation
Yasiv.com




                                    24
Use case 3: (telco) impact analysis
Network: millions of routers and machines
Local impact of a router failure in network services?




                                         Entypo pictograms by Daniel Bruce — www.entypo.com


                                                                                              25
Graph visualization options and latest developments
Linkurious: visualize graph data easily
• A tool to visualize any graph database
• Graph search made easy
• Approach : search, show context, expand on demand




2/17/13                                               27
Linkurious competitors
Locked to a specific use case:
MentionMap => Twitter mentions
Palantir => for Palantir customers only
TheAdvisor => scientific papers recommendation
Wikiways => TechCrunch Database
Wikiweb => Wikipedia browsing

Limited browsing features:
Neoclipse, Neo4j web admin

Toolkits (require to code): D3.js, KeyLines, Sigma.js
                                                        28
Live demo




2/17/13     29
Questions?


    @Linkurious
 contact@linkurio.us

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Graph visualization options and latest developments

  • 1. Graph Visualization options and latest developments London Neo4j meetup at Skills Matter, Feb 27, 2013 By @Linkurious - contact@linkurio.us
  • 2. Linkurious startup: a few words about us • Jean Villedieu, CMO Linkurious • Sébastien Heymann, CEO Linkurious • Romain Yon, CTO Linkurious (is coding tonight) 2/17/13 2
  • 4. Graphs are in our DNA • Gephi, the leading graph analysis and exploration solution • Democratizing network thinking • Linkurious 2/17/13 4
  • 5. The best way to store and access the data of a connected world • Graphs are “everywhere”: conceptual view on data • Neo4j and graph databases offer a fast and intuitive way to use data • Social networks, recommendation engines, networked systems… 2/17/13 5
  • 6. Visualization is key to understanding graphs • Verify data • Check algorithm • View information in context • Build a visual representation • Understand relationships • Discover information • Find patterns • Illustrate and communicate data 2/17/13 6
  • 7. Global approach vs Centred approach Card, Shneiderman (Using Vision to Think, 1999) Van Ham, Perer (2009) 1. Overview first, 1. Search, 2. Zoom and filter, 2. Show Context, 3. Details-on-demand. 3. Expand on Demand. 7
  • 8. Play now: which tool for which approach? Cytoscape, D3.js, Gephi, GraphViz, KeyLines, Linkurious, MentionMap, Neo4j server web interface, Neoclipse, NodeXL, Palantir, Sigma.js, SocialAction, Wikisway, WikiWeb... 8
  • 18. Summary: which tool for which approach? Cytoscape, GraphViz, Linkurious, MentionMap, Gephi, GraphInsight, GUESS, Neo4j server web interface, NodeXL, SocialAction, Tulip, Neoclipse, Wikisway, WikiWeb UCINET Global approach Centred approach + Toolkits to build your own App: D3.js, KeyLines, Sigma.js 18
  • 19. Global approach vs Centred approach Great for: Great for: Identifying communities and Investigating entities global properties Finding correlations properties / Exploring local context structure Communicating « wow » effect Communicating insights 19
  • 20. Global approach vs Centred approach Issues: Issues: Difficult to learn (data mining + CS + Users must know what to search design skills) Poor statistical insights Poor insights with large graphs (bias due to hidden information) Highly sensitive to graph Orientation is difficult incompleteness (<5% missing data => important bias) Hardware limits (goodbye mobile!) 20
  • 21. Global approach vs Centred approach Use it for: Use it for: Analysis at the global scale. Database browsing to quickly find information. Make hypotheses or try to confirm statistical properties. Analysis of local views. Graphs of size < 50k nodes. Graphs of any size. 21
  • 22. 3 applications of the centred approach
  • 23. Use case 1: fraud detection Automatic outlier detection over time (Seb's Ph.D.) Visualization of outlier-centred graphs 23
  • 24. Use case 2: visual recommendation Yasiv.com 24
  • 25. Use case 3: (telco) impact analysis Network: millions of routers and machines Local impact of a router failure in network services? Entypo pictograms by Daniel Bruce — www.entypo.com 25
  • 27. Linkurious: visualize graph data easily • A tool to visualize any graph database • Graph search made easy • Approach : search, show context, expand on demand 2/17/13 27
  • 28. Linkurious competitors Locked to a specific use case: MentionMap => Twitter mentions Palantir => for Palantir customers only TheAdvisor => scientific papers recommendation Wikiways => TechCrunch Database Wikiweb => Wikipedia browsing Limited browsing features: Neoclipse, Neo4j web admin Toolkits (require to code): D3.js, KeyLines, Sigma.js 28
  • 30. Questions? @Linkurious contact@linkurio.us