science-of-science-pipeline-udt 0.1.2

Integrated pipeline and dashboard for tracing conceptual emergence and evolution in semantic space (UDT case study).

Science of Science: UDT Concept Evolution Pipeline

This repository contains the Python implementation accompanying the bachelor thesis:

Duco Trompert (Universiteit van Amsterdam, Jan 23, 2026)

Science of Science: An Integrated Pipeline for Tracing Conceptual Emergence and Evolution in Semantic Space

The project implements an integrated pipeline for science mapping that links: data collection (OpenAlex) → pre-processing → network & embedding representations → analysis → interactive dashboard.

What it does

• Collects and caches publication metadata from the OpenAlex API for a target concept (default: "Urban Digital Twin").
• Builds keyword co-occurrence networks (overall and per-year slices).
• Builds semantic similarity networks from Word2Vec embeddings trained on titles/abstracts/keywords.
• (Optional) Builds concept–method bipartite networks using an LLM-based keyword labelling step (served via Ollama).
• Provides an interactive Dash dashboard with network visualisations (dash-cytoscape) and time series (plotly).

Installation (Linux/macOS)

python -m venv .venv
source .venv/bin/activate
python -m pip install --upgrade pip
pip install science-of-science-pipeline-udt

Run the dashboard

udt-dashboard

Open http://127.0.0.1:8050/ in your browser.