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April 10, 2026Open Access

A Computational Analysis of Ceasefire Dynamics: Network Modelling of Violent Incident Data in South Sudan (2018–2023)

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Authors

A(Abraham Kuol Nyuon (Ph.D)

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Overview

Original research analyzes violent incidents in South Sudan, revealing conflict dynamics and ceasefire challenges.

Key Points

  • The research aims to analyze the structural dynamics of conflict and peace in South Sudan using computational methods.
  • Utilized the ACLED dataset to analyze violent incidents from 2018 to 2020.
  • Constructed temporal bipartite networks to model relationships between armed actors and incidents.
  • Applied community detection algorithms and calculated centrality metrics.
  • Identified persistent latent conflict networks undermining peace agreements.
  • Highlighted specific actor clusters and geographic hubs critical to ceasefire stability.

Cite This Study

Abraham Kuol Nyuon (Ph.D) (2020) studied this question.

synapsesocial.com/papers/69d896676c1944d70ce07c5dhttps://doi.org/10.5281/zenodo.19474758
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Computational Analysis of Ceasefire Dynamics and Conflict Recurrence in South Sudan: A Network and Event Data Approach2023
  2. 2A Computational Analysis of Conflict Dynamics and Ceasefire Resilience in South Sudan: A Network and Event Data Approach2024
  3. 3A Computational Analysis of Conflict Dynamics and Peace Agreement Implementation in South Sudan: A Network and Event Data Approach2025
  4. 4A Computational Framework for Modelling Conflict Dynamics and Peace Agreement Efficacy in South Sudan2024
  5. 5A Computational Framework for Modelling Conflict Dynamics and Peace Agreement Viability in South Sudan2024