Wikipedia Editor Conflict Signed Network (NDS-VU)
A NDS-VU signed network repository dataset of 7,116 Wikipedia editors and 1,048,576 signed conflict/collaboration edges, collected by NDS-VU from Wikipedia edit history. Each record contains directed signed edges between nodes: sign (+1 or -1) representing positive/negative relationships; no edge weights beyond binary sign. Large signed network of Wikipedia editor interactions derived from edit conflict and revert patterns, where positive edges indicate collaborative edits and negative edges indicate conflicts and reverts between editors. Suitable for signed network analysis, conflict detection, collaborative platform dynamics.
Cite this dataset at
nds-vu-wiki-conflict.echo.directory
Analytics
The full graph has 116,717 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.
Computed over the full corpus.
Record
- Catalog key
nds-vu-wiki-conflict- Authors
- NDS-VU
- Year
- 2021
- Source paper
- Signed Network Datasets — Wikipedia Conflict
- DOI / arXiv
- 10.1145/3366423.3380212
- License
- MIT (NDS-VU repository) (MIT)
- Records
- 116,717
- Nodes
- 116,717
- Edges
- 2,026,646 (directed)
- Nodes are
- editor
- Edges are
- conflict / collaboration
- Attributes
- nodes have no attributes; edges have attributes
- Languages
- en
- Collected
- 2001-2010 (2000s, 2010s)
- Tasks
- Edge sign prediction (binary;
sign) inferred
From the graph: link prediction, community detection - Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- https://github.com/NDS-VU/signed-network-datasets link checked
- Hosted copy
- Mirrored on echo.directory on 2026-10-02, 25.7 MB across 1 files. Checksums in MANIFEST.json.
Citations
Finding large balanced subgraphs in signed networks
Bruno Ordozgoiti, Antonis Matakos, A. Gionis
Journal Article · The Web Conference · 2020
Cited by
- Stable Community Detection in Signed Social Networks
Renjie Sun, Chen Chen et al. · IEEE Transactions on Knowledge and Data Engineering · 2022 · cited 57× - MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian
Yixuan He, Michael Perlmutter et al. · LOG IN · 2022 · cited 53× - PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs
Yixuan He, Xi-Tong Zhang et al. · LOG IN · 2022 · cited 37× - LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning
Xun-Kai Li, Mei-Hao Liao et al. · Proceedings of the VLDB Endowment · 2024 · cited 14× - PyTorch Geometric Signed Directed: A Survey and Software on Graph Neural Networks for Signed and Directed Graphs
Yixuan He, Xi-Tong Zhang et al. · arXiv.org · 2022 · cited 12×
Show all 10
- Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model
Nikolaos Nakis, Abdulkadir Çelikkanat et al. · International Conference on Artificial Intelligence and Statistics · 2023 · cited 11× - Computing Maximum Structural Balanced Cliques in Signed Graphs
Kai Yao, Lijun Chang et al. · IEEE International Conference on Data Engineering · 2022 · cited 10× - Balance Maximization in Signed Networks via Edge Deletions
Kartik Sharma, Iqra Altaf Gillani et al. · Web Search and Data Mining · 2020 · cited 10× - Neural discovery of balance-aware polarized communities
Francesco Gullo, Domenico Mandaglio et al. · Machine-mediated learning · 2024 · cited 9× - On Cohesively Polarized Communities in Signed Networks
Jason Niu, Ahmet Erdem Sarıyüce · The Web Conference · 2023 · cited 9×
Citation data from Semantic Scholar, retrieved 2026-10-19.
How to cite
BibTeX
@misc{echo2026,
title = {ECHO: Exploratory Compendium of Humanity Online},
author = {Switzer, Braden and Zafarani, Reza},
year = {2026},
url = {https://echo.directory},
note = {Syracuse University}
}
@misc{ndsvu_signed,
title = {Signed Network Datasets},
author = {NDS-VU},
year = {2021},
howpublished = {\url{https://github.com/NDS-VU/signed-network-datasets}}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
NDS-VU (2021). Wikipedia Editor Conflict Signed Network (NDS-VU) [Data set]. https://doi.org/10.1145/3366423.3380212
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
NDS-VU. Wikipedia Editor Conflict Signed Network (NDS-VU). 2021, doi.org/10.1145/3366423.3380212.