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April 10, 2026Open Access

A Computational Analysis of Ceasefire Dynamics and Conflict Recurrence in South Sudan: A Network and Event Data Approach

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Authors

A(Abraham Kuol Nyuon (Ph.D)

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Overview

Original research models ceasefire dynamics in South Sudan, suggesting improvements for conflict mediation.

Key Points

  • The study aims to understand how ceasefires affect recurring conflicts in South Sudan using computational methods.
  • Applied network science and event data analysis techniques.
  • Constructed temporal networks from ACLED and South Sudan Conflict Database datasets.
  • Analyzed how ceasefire agreements influence local violence patterns.
  • Identified fragility in peace arrangements due to factional fragmentation and alliance instability.
  • Quantified significant predictors of renewed hostilities related to network configurations.

Cite This Study

Abraham Kuol Nyuon (Ph.D) (2023) studied this question.

synapsesocial.com/papers/69d896676c1944d70ce07d32https://doi.org/10.5281/zenodo.19474795
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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 Conflict Dynamics and Ceasefire Resilience in South Sudan: A Network and Event Data Approach2024
  2. 2A Computational Analysis of Ceasefire Dynamics: Network Modelling of Violent Incident Data in South Sudan (2018–2023)2020
  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 Curated, Multi-Source Event Dataset for Computational Analysis of Conflict and Peacebuilding in South Sudan2026