Narrative Maps Visualization Tool (NMVT): An interactive narrative analytics system based on the narrative maps framework

The Narrative Maps Visualization Tool (NMVT) is an interactive visual analytics system designed to help analysts understand complex narratives from collections of text documents. NMVT leverages graph-based representations to extract and visualize coherent storylines, showing how events connect over time. The system integrates advanced features including document clustering, coherence-based optimization, storyline extraction, and explainable AI components that provide interpretable insights into narrative connections. NMVT supports both directed analysis (connecting specific events) and exploratory analysis (discovering emerging storylines). By enabling analysts to make sense of large document collections, NMVT addresses critical challenges in intelligence analysis, computational journalism, and misinformation research, allowing users to effectively connect the dots between seemingly unrelated events. The system has been successfully demonstrated on news data by extracting coherent narrative structures that capture both main storylines and alternative perspectives. Case studies show that NMVT’s semantic interaction capabilities enable analysts to refine narratives based on domain expertise, while the explainable AI components increase trust in the system’s outputs.

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Publication Details

Journal
SoftwareX
Published
2025-09-27
DOI
https://doi.org/10.1016/j.softx.2025.102377
Primary Topic
Diverse Scientific and Economic Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Narrative Maps Visualization Tool (NMVT): An interactive narrative analytics system based on the narrative maps framework

SoftwareX
Diverse Scientific and Economic Studies
article

Narrative Maps Visualization Tool (NMVT): An interactive narrative analytics system based on the narrative maps framework

article en

Abstract

The Narrative Maps Visualization Tool (NMVT) is an interactive visual analytics system designed to help analysts understand complex narratives from collections of text documents. NMVT leverages graph-based representations to extract and visualize coherent storylines, showing how events connect over time. The system integrates advanced features including document clustering, coherence-based optimization, storyline extraction, and explainable AI components that provide interpretable insights into narrative connections. NMVT supports both directed analysis (connecting specific events) and exploratory analysis (discovering emerging storylines). By enabling analysts to make sense of large document collections, NMVT addresses critical challenges in intelligence analysis, computational journalism, and misinformation research, allowing users to effectively connect the dots between seemingly unrelated events. The system has been successfully demonstrated on news data by extracting coherent narrative structures that capture both main storylines and alternative perspectives. Case studies show that NMVT’s semantic interaction capabilities enable analysts to refine narratives based on domain expertise, while the explainable AI components increase trust in the system’s outputs.

SoftwareXVol. 32
Universidad Católica del Norte (CL)
Openalex Percentile: Top 35%
Diverse Scientific and Economic Studies
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