graph analysis of the european public tenders
TRANSCRIPT
Visualizing the network of European public tenders.
SAS founded in 2013 in Paris | http://linkurio.us | @linkurious
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.
What is a graph?
PERSONname: Séb
age: 29
PERSONname: Jean
age: 31
LOCATIONname: Paris
Lives
inLives in
Knows
A graph is a set of nodes and relationships.
This is a node
This is a relationship
PERSONname: Séb
age: 29
PERSONname: Jean
age: 31
LOCATIONname: Paris
This is a property
Some use cases.
Frauddetection
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.
Graphs are everywhere!
Transparency: all European public tenders
are available online.
What it looks like.
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.
We can represent the data as a graph.
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.
Let’s start exploring!
We are going to explore the connections of a firm called KPMG and identify contracts its customers awarded to competitors.
KPMG is connected to 10 contracts.
The contracts are connect to 9 KPMG customers.
These customers are also working with other companies.
GCS Uniha is working with some of KPMG’s competitors: these are missed opportunities for KPMG.
Linkurious helps you find the insights hidden in your graph data.
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