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Identifying graph-shaped
problems
Lju Lazarevic
lju@neoj4.com @ellazal
What is a graph?
A graph is...
...a set of discrete objects, each of which has some set of relationships with
the other objects
Seven Bridges of Konigsberg problem. Leonhard Euler, 1735
Anything can be a graph
the Internet a water molecule
H
O
H
Why do we need graphs?
Reality
seldom
comes in
discrete
tables
Customer
Beverage
Mapping
Action
CI Name
BI Name AI Type
CI BI AIProblems are
best understood
with a
representation
of reality
Reality is often
about things
being
connected to
other things
drinks in store
A graph
provides a
better
approximation
of reality
Customer
Coffee
DRINKS
Reality does
not stop at
the border
of a data
silo
Customer
Product
Order
19 Jason
32 Ann
91 Dan
11 Filter
21 Latte
31 Flat W.
01 Buy
04 Preord.
09 Drink
91 21 01
91 21 09
32 11 04
Identifying a
graph-shaped problem
Dan on Unsplash
Graphs in coffee
• Can I tailor special offers based on
historical habits?
• Could my customers influence their
friends to visit?
• What happens if my supplier stops
selling a product?
• What happens if my supplier’s supplier’s
supplier has a poor harvest?
• What happens if my distribution centre
has problems?
Scenarios for identifying
graph-shaped problems
Scenario 1: Does our problem involve understanding relationships
between entities?
Identifying graph-shaped problems
● Recommendations
● Next best action
● Fraud detection
● Identity resolution
● Data lineage
Scenario 2: Does the problem involve a lot of self-referencing to the
same type of entity?
Identifying graph-shaped problems
● Organisational
hierarchies
● Social influencers
● Friends of friends
● Churn detection
Scenario 3: Does the problem explore relationships of varying or
unknown depth?
Identifying graph-shaped problems
● Supply chain
visibility
● Bill of Materials
● Network
management
Scenario 4: Does our problem involve discovering lots of different
routes or paths?
Identifying graph-shaped problems
● Logistics and routing
● Infrastructure management
● Dependency tracing
A summary of scenarios
Scenario 1:
Does our problem involve
understanding relationships
between entities?
Scenario 2:
Does the problem involve a
lot of self-referencing to
the same type of entity?
Scenario 3:
Does the problem explore
relationships of varying or
unknown depth?
Scenario 4:
Does our problem involve
discovering lots of different
routes or paths?
Where can I learn more
about graphs and
graph-shaped problems?
Free book:
neo4j.com/graph-databases-book
Free online training and certification:
neo4j.com/graphacademy/online-training
How to, best practices and customer
stories:
youtube.com/neo4j
Ljubica Lazarevic
Developer Relations
Advocate
@ElLazal
lju@neo4j.com
Join the conversation at community.neo4j.com

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Identifying Graph-Shaped Problems

  • 2. What is a graph?
  • 3. A graph is... ...a set of discrete objects, each of which has some set of relationships with the other objects Seven Bridges of Konigsberg problem. Leonhard Euler, 1735
  • 4. Anything can be a graph the Internet a water molecule H O H
  • 5. Why do we need graphs?
  • 6. Reality seldom comes in discrete tables Customer Beverage Mapping Action CI Name BI Name AI Type CI BI AIProblems are best understood with a representation of reality Reality is often about things being connected to other things drinks in store A graph provides a better approximation of reality Customer Coffee DRINKS Reality does not stop at the border of a data silo Customer Product Order 19 Jason 32 Ann 91 Dan 11 Filter 21 Latte 31 Flat W. 01 Buy 04 Preord. 09 Drink 91 21 01 91 21 09 32 11 04
  • 9. Graphs in coffee • Can I tailor special offers based on historical habits? • Could my customers influence their friends to visit? • What happens if my supplier stops selling a product? • What happens if my supplier’s supplier’s supplier has a poor harvest? • What happens if my distribution centre has problems?
  • 11. Scenario 1: Does our problem involve understanding relationships between entities? Identifying graph-shaped problems ● Recommendations ● Next best action ● Fraud detection ● Identity resolution ● Data lineage
  • 12. Scenario 2: Does the problem involve a lot of self-referencing to the same type of entity? Identifying graph-shaped problems ● Organisational hierarchies ● Social influencers ● Friends of friends ● Churn detection
  • 13. Scenario 3: Does the problem explore relationships of varying or unknown depth? Identifying graph-shaped problems ● Supply chain visibility ● Bill of Materials ● Network management
  • 14. Scenario 4: Does our problem involve discovering lots of different routes or paths? Identifying graph-shaped problems ● Logistics and routing ● Infrastructure management ● Dependency tracing
  • 15. A summary of scenarios Scenario 1: Does our problem involve understanding relationships between entities? Scenario 2: Does the problem involve a lot of self-referencing to the same type of entity? Scenario 3: Does the problem explore relationships of varying or unknown depth? Scenario 4: Does our problem involve discovering lots of different routes or paths?
  • 16. Where can I learn more about graphs and graph-shaped problems?
  • 17. Free book: neo4j.com/graph-databases-book Free online training and certification: neo4j.com/graphacademy/online-training How to, best practices and customer stories: youtube.com/neo4j