DOI: 10.5281/zenodo.17753263
title: Local Pluralistic Homophily: Complete Datasets for Boundary-Spanning Node Detection (v3)

description: Local Pluralistic Homophily — Preprocessed Datasets (v3)

Authors: Fernando Barraza; Carlos Ramírez-Ovalle; Abel Álvarez; Alejandro FernándezContact: fernandobarraza@javerianacali.edu.coPaper: Local Pluralistic Homophily for Boundary-Spanning Node Detection in Overlapping Community Networks (Applied Sciences, 2025)

Overview

This deposit provides preprocessed, analysis-ready inputs used in the paper on Local Pluralistic Homophily for boundary-spanning node detection. It standardizes several real-world networks with overlapping communities to a common format compatible with our open-source pipeline.

Included datasets

Core datasets (analyzed in the article):

- DBLP — co-authorship; communities = publication venues (conferences/journals).- LiveJournal (LJ) — friendships; communities = user-created interest groups.- YouTube — friendships; communities = subscription-based groups.- StackOverflow (SO) — user interactions; communities = question tags.- Deezer — friendships; communities = music-genre labels.- GitHub — co-participation; communities = repository topics/languages.- Amazon — co-purchase; communities = product-category taxonomy.- Twitch — interaction/affinity; communities = channels or game categories.

Synthetic benchmarks

- LFR_low, LFR_mid, LFR_high — Lancichinetti–Fortunato–Radicchi synthetic networks with controlled mixing parameters (μ = 0.1, 0.3, 0.5).- LFR1–LFR7 — Additional LFR configurations for robustness testing.- toy6 — Small illustrative network (6 nodes) used in Figure 1 for pedagogical demonstration of h̃_v calculation.

Extended datasets (processed but not analyzed in the article)

- Orkut — user-defined groups.- Biological networks — PPI (protein–protein interaction), DDI (drug–drug interaction), C. elegans neural connectome.- text1 — Exploratory text-derived network.

These extended resources are provided to facilitate replication and follow-up studies; they are not part of the main empirical analyses.

File formats

- Edgelist (*_network.txt): space-separated pairs u v; undirected; no self-loops; duplicates removed; 0-based contiguous node IDs as strings.- Communities (*_communities.txt): each line lists node IDs in one community (TAB-separated); overlaps allowed.- Node→communities map (*_node_to_communities.csv): variable-length rows node_id,comm1,comm2,…; empty memberships are rare but permitted.- Louvain communities (*_louvain_communities.csv): algorithmically-detected non-overlapping communities using the Louvain method; used to evaluate community-aware baseline (mDC) in revised manuscript.

Reproducibility

- Code repository: https://github.com/fernandobarraza/local-pluralistic-homophily (scripts for standardization, scoring, and evaluation; parameters and seeds documented).- Please cite this dataset using the concept DOI, which resolves to the latest version.

Changelog

Version 3 (2025-11-28)- Added LFR synthetic benchmarks (LFR_low, LFR_mid, LFR_high, LFR1–LFR7) for controlled validation.- Added toy6 illustrative example used in manuscript Figure 1.- Added text1 exploratory dataset.- Consolidated all materials into a unified repository structure.- Added Louvain-detected communities (*_louvain_communities.csv) for all core datasets to support reproducibility of community-aware baseline (mDC).

Version 2- Added Amazon to core datasets.- Moved GitHub, Deezer, Twitch from extended to core.- Kept Orkut as extended; added PPI, DDI, and C. elegans as extended.

Version 1- Initial release with 7 core networks and ground-truth communities.