Back to search

Article

Identifying Conflict Hotspots in Papua through Integrated Graph Theory and Clustering Analysis

2026-05-14

Abstract excerpt

<title>Abstract</title> <p>Conflict in Papua has long attracted academic and policy attention, yet most studies remain descriptive and qualitative, leaving gaps in predictive capacity and quantitative validation. This study addresses these limitations by applying an integrated computational framework that combines graph-based modeling and clustering algorithms to conflict data recorded between 2018 and 2024. The...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
45e57978-83c2-515c-b269-6d5994354e7c
DOI
10.21203/rs.3.rs-8360541/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Identifying Conflict Hotspots in Papua through Integrated Graph Theory and Clustering AnalysisDOI 10.21203/rs.3.rs-8360541/v1
Select a neighboring publication to make it the new centre.