Let's explore open data about European public contracts with Linkurious and Neo4j.

1. Visualizing the network
of European public
tenders.
SAS founded in 2013 in Paris | http://linkurio.us | @linkurious

2. Introduction.
● Linkurious is a graph visualization startup.
● We help companies understand graph data.
● Linkurious Enterprise, an enterprise-ready
graph visualization platform (compatible with
Neo4j).
● linkurious.js, an open-source JS graph
visualization library.
● NASA, French Ministry of Finances.

3. What is a graph?
PERSON
name: Séb
age: 29
PERSON
name: Jean
age: 31
LOCATION
name: Paris
Lives
in Lives
in
Knows

4. A graph is a set of nodes and relationships.
This is a node
This is a
relationship
PERSON
name: Séb
age: 29
PERSON
name: Jean
age: 31
LOCATION
name: Paris
This is a
property

5. Some use cases.
Fraud
detection
Names, addresses, phones,
transactions.
Identify suspicious
transactions or individuals.
Network
management
Servers, services,
applications, users.
Impact analysis,
cybersecurity.
Knowledge
management
Documents, concepts,
authors, organizations.
Identify experts and
important information.

6. Graphs are everywhere!

7. Transparency: all
European public tenders
are available online.

8. What it looks like.

9. The data in depth.
● Procurement notices available in XML format
via the EU open data format
● The copyright belongs to the Publications
Office of the European Union (terms)
● OpenTED is maintaining a CSV version
● The data contains 73,268 documents for 2015
representing 96,755 lines and 141 columns
● After the import, we found 161,539 distinct
entities and 536,933 relationships.

10. We can represent the data as a graph.

11. Some use cases.
CSV
Our original data is stored in
a CSV file.
Neo4j
We import the data into a
Neo4j graph database with a
script.
Linkurious
Now the data can be
explored interactively with
Linkurious.

12. Let’s start exploring!
We are going to explore the
connections of a firm called KPMG
and identify contracts its customers
awarded to competitors.

13. KPMG is connected to 10 contracts.

14. The contracts are connect to 9 KPMG customers.

15. These customers are also working with other companies.

16. GCS Uniha is working with some of KPMG’s competitors: these are missed opportunities for KPMG.

17. Linkurious helps you find the
insights hidden in your graph
data.

18. Conclusion.
Visit linkurio.us.

19. Links.
● Import script: https://gist.github.com/jvilledieu/bb6108ea1644d9ca8b72
● Example queries: https://gist.github.com/jvilledieu/141ed172eadab6df0c4e
● OpenSpending.org: http://ted.openspending.org/
● European data portal: https://open-data.europa.eu/en/data/dataset/ted-1