Fake News Network Data Generator

This model generates fake data for a news network, including nodes (news articles) and links (relationships between articles). It's designed to create realistic-looking data for testing, development, or demonstration purposes.

Model Description

The model uses the Faker library to generate random but realistic-looking data for a network of news articles. It creates a specified number of nodes (articles) and links (relationships between articles), with various attributes such as headlines, topics, emotions, dates, and sentiments.

Input

The model accepts a JSON input with the following optional parameters:

num_nodes: The number of news article nodes to generate (default: 10)
num_links: The number of links between articles to generate (default: 5)

Example input:

{
  "num_nodes": 15,
  "num_links": 8
}