Ridwan Amure
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Researcher
Also affiliated: University of Arkansas Medical Center (2025–2026); Arkansas Department of Agriculture (2025); Cosmos Corporation (United States) (2024)
Faculty Researcher
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Ridwan Amure's research focuses on the analysis of social networks and the application of knowledge graphs. He investigates methods for identifying contextualized focal structures within multisource social networks, often leveraging temporal knowledge graph approaches to model cross-platform narrative templates. His work includes the development of comprehensive approaches for analyzing multi-source heterogeneous social network knowledge graphs, such as KG-CFSA. Amure also studies anomalous behaviors on platforms like YouTube, exploring detection and measurement techniques, including anomalous channel detection through label propagation. He has published on these topics, with his most recent work appearing in 2026. Amure collaborates with several researchers at the University of Arkansas at Little Rock, including Nitin Agarwal, with whom he shares 12 publications.
Metrics
- h-index: 5
- Publications: 15
- Citations: 60
Selected Publications
-
Focal Collective Actors as Narrative Structures: Cross-Platform Brokerage in Digital Protest (2026)Journal of the Association for Information Systems OpenAlex
-
Modeling cross-platform narrative diffusion: a stable Hawkes–ODE framework for exposure and adoption dynamics (2026)
-
CI-FSA: Toward Scalable Discovery of Influential Groups in Social Networks (2026)
-
Identifying cohesive narrative formations in cross-platform trade-war discourse using weighted contextual focal structures analysis (2026)
-
Analysis of Cross-Platform Narrative Dissemination Through Contextual Focal Structures (2026)
-
Modeling Cross-Platform Narrative Diffusion: A Multiplex Approach to Information Spread in Social Media Ecosystems (2026)
-
Discovering cross-platform narrative flow templates using frequent subgraph mining (2026)
-
Graph-Based Identification of Influential Groups in Cross-Platform Narrative Dissemination (2025)
-
Memory-driven modeling of herpes simplex virus type-1 and type-2 dynamics with neural network optimization (2025)
-
Co-commenters as clues: a partial-label approach to detecting anomalous channels on Youtube (2025)
-
Navigating the Anomalies: A Comprehensive Analysis of YouTube Channel Behavior (2025)
-
Detecting and Measuring Anomalous Behaviors on YouTube (2025)
-
Modeling cross-platform narrative templates: a temporal knowledge graph approach (2025)
-
A comparative evaluation of social network analysis tools: performance and community engagement perspectives (2025)
-
A Comparative Evaluation of Social Network Analysis Tools: Performance and Community Engagement Perspectives (2024)
Collaboration Network
Top Collaborators
- Modeling cross-platform narrative templates: a temporal knowledge graph approach
- A comparative evaluation of social network analysis tools: performance and community engagement perspectives
- KG-CFSA: a comprehensive approach for analyzing multi-source heterogeneous social network knowledge graph
- Detecting and Measuring Anomalous Behaviors on YouTube
- KG-CFSA: A Comprehensive Approach for Analyzing Multi-source Heterogeneous Social Network Knowledge Graph
Showing 5 of 7 shared publications
- KG-CFSA: a comprehensive approach for analyzing multi-source heterogeneous social network knowledge graph
- Toward Improved Clustering for Textual Data
- KG-CFSA: A Comprehensive Approach for Analyzing Multi-source Heterogeneous Social Network Knowledge Graph
- KG-CFSA: a comprehensive approach for analyzing multi-source heterogeneous social network knowledge graph
- KG-CFSA: A Comprehensive Approach for Analyzing Multi-source Heterogeneous Social Network Knowledge Graph
- Detecting and Measuring Anomalous Behaviors on YouTube
- Navigating the Anomalies: A Comprehensive Analysis of YouTube Channel Behavior
- Toward Improved Clustering for Textual Data
- Navigating the Anomalies: A Comprehensive Analysis of YouTube Channel Behavior
- Memory-driven modeling of herpes simplex virus type-1 and type-2 dynamics with neural network optimization
- Memory-driven modeling of herpes simplex virus type-1 and type-2 dynamics with neural network optimization
- Memory-driven modeling of herpes simplex virus type-1 and type-2 dynamics with neural network optimization
- Memory-driven modeling of herpes simplex virus type-1 and type-2 dynamics with neural network optimization
- Discovering cross-platform narrative flow templates using frequent subgraph mining
- Modeling Cross-Platform Narrative Diffusion: A Multiplex Approach to Information Spread in Social Media Ecosystems
- Analysis of Cross-Platform Narrative Dissemination Through Contextual Focal Structures
- Graph-Based Identification of Influential Groups in Cross-Platform Narrative Dissemination
- Identifying cohesive narrative formations in cross-platform trade-war discourse using weighted contextual focal structures analysis
Similar Researchers
Based on overlapping research topics