Replication Data and Code for: Comparative visualization of knowledge structures using edge-difference graphs and network flow analysis: A case study of Wikipedia philosopher networks

This repository contains the replication dataset and the complete Python source code for the framework presented in the paper titled "Comparative visualization of knowledge structures using edge-difference graphs and network flow analysis: A case study of Wikipedia philosopher networks". The dataset provides a cross-lingual baseline network extracted from English, Japanese, French, and German editions of Wikipedia. The accompanying Python pipeline (utilizing NetworkX 3.5) implements a three-step analysis:1. Construction of Edge-Difference Graphs to isolate language-exclusive connections among 8,213 common nodes.2. Edge cost calculation using an adapted Adamic-Adar similarity index to penalize cultural hubs.3. Cost-ranked path extraction via the minimum-cost maximum-flow algorithm (network simplex method). Please refer to the included README.txt for detailed environment setup instructions and example commands to reproduce the key path trajectories (e.g., Table 4 and Table 5) reported in the manuscript.