Analyzing a network

You will construct a network starting from a transactional data source. Each line in the transactional data source transfers represents a money transfer between an originator and a beneficiary.

Despite the structured representation of the data, the relationships between originators and beneficiaries are hard to capture. Real life data sources contain billions of transactions making it impossible to extract correlations and useful insights.

Network visualization tools offer a powerful solution to make information hidden in networks easy to interpret and understand.

Deze oefening maakt deel uit van de cursus

Fraud Detection in R

Cursus bekijken

Oefeninstructies

Load the igraph library.
Get to know the data by printing the first rows of transfers.
Create an undirected graph net from the data frame transfers with graph_from_data_frame().
Plot the network net with the vertex labels in "black" and bold by setting the font size equal to 2.

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

# Load the igraph library
library(___)

# Have a look at the data
___(___)

# Create an undirected network from the dataset
net <- ___(___, directed = ___)

# Plot the network with the vertex labels in bold and black
plot(___,
     vertex.label.color = ___,
     vertex.label.font = ___)

Code bewerken en uitvoeren