disrupt-idx 0.1.0

A comprehensive toolkit for calculating disruptive innovation metrics (DI1, DI5, mCD).

# Disruptive Innovation Index Calculator

A simple, high-performance Python tool to calculate citation-based disruptive innovation index (**DI1**, **DI5**, **mCD**).

## 📦 Installation

```bash
pip install from disrupt_idx

🚀 Quick Start

1. Prepare Data

Place these 3 files in your working directory:

File	Columns Required	Description
net.csv	id, cited (or netfrom, netto)	Citation network relationships.
time.csv	id, publicationDate	Publication dates (YYYY/MM/DD).
focal.csv	id	List of target IDs to calculate.

2. Run Code

Create a python script (e.g., run.py) and run it:

Python

from disruptive_metrics import DisruptiveInnovator

# Initialize (Automatically loads net.csv, time.csv, focal.csv)
calculator = DisruptiveInnovator()

print("Calculating...")

# Standard Metrics
calculator.calculate("DI1")
calculator.calculate("DI5")
calculator.calculate("mCD")

# Metrics with Time Window (e.g., 5 years)
calculator.calculate("DI1", window_years=5)

# Metrics excluding Nk term (nk mode)
calculator.calculate("DI1", exclude_nk=True)

📂 Output

Results are automatically saved in the results/ folder:

• results/DI1.csv
• results/DI1Y5.csv
• ...and so on.

📄 License

MIT License