Ridwan Amure Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
Research Areas
Biography and Research Information
OverviewAI-generated summary
Ridwan Amure's research focuses on the analysis of social networks, particularly through the lens of knowledge graphs and temporal modeling. His work investigates methods for identifying contextualized focal structures within multisource social networks, leveraging knowledge graph techniques. Amure has also explored the detection and measurement of anomalous behaviors on platforms like YouTube, employing approaches such as label propagation and partial-label methods.
His research includes comparative evaluations of social network analysis tools, considering both performance and community engagement aspects. Amure has published on modeling cross-platform narrative templates using temporal knowledge graphs and has developed comprehensive approaches for analyzing multi-source heterogeneous social network knowledge graphs. His scholarly contributions are reflected in a h-index of 4, with 13 total publications and 37 citations. Key collaborators include Abiola Akinnubi, Nitin Agarwal, Mustafa Alassad, and Shadi Shajari, all from the University of Arkansas at Little Rock, with whom he shares multiple publications.
Metrics
- h-index: 4
- Publications: 13
- Citations: 46
Selected Publications
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CI-FSA: Toward Scalable Discovery of Influential Groups in Social Networks (2026)
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Identifying cohesive narrative formations in cross-platform trade-war discourse using weighted contextual focal structures analysis (2026)
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Analysis of Cross-Platform Narrative Dissemination Through Contextual Focal Structures (2026)
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Modeling Cross-Platform Narrative Diffusion: A Multiplex Approach to Information Spread in Social Media Ecosystems (2026)
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Discovering cross-platform narrative flow templates using frequent subgraph mining (2026)
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Graph-Based Identification of Influential Groups in Cross-Platform Narrative Dissemination (2025)
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Memory-driven modeling of herpes simplex virus type-1 and type-2 dynamics with neural network optimization (2025)
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Co-commenters as clues: a partial-label approach to detecting anomalous channels on Youtube (2025)
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Navigating the Anomalies: A Comprehensive Analysis of YouTube Channel Behavior (2025)
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Detecting and Measuring Anomalous Behaviors on YouTube (2025)
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Modeling cross-platform narrative templates: a temporal knowledge graph approach (2025)
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A comparative evaluation of social network analysis tools: performance and community engagement perspectives (2025)
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A Comparative Evaluation of Social Network Analysis Tools: Performance and Community Engagement Perspectives (2024)
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KG-CFSA: a comprehensive approach for analyzing multi-source heterogeneous social network knowledge graph (2024)
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Toward Improved Clustering for Textual Data (2024)
Collaboration Network
Top Collaborators
- Identifying Contextualized Focal Structures in Multisource Social Networks by Leveraging Knowledge Graphs
- A comparative evaluation of social network analysis tools: performance and community engagement perspectives
- Modeling cross-platform narrative templates: a temporal knowledge graph approach
- KG-CFSA: a comprehensive approach for analyzing multi-source heterogeneous social network knowledge graph
- Modeling Cross-Platform Narratives Templates: A Temporal Knowledge Graph Approach
Showing 5 of 10 shared publications
- Identifying Contextualized Focal Structures in Multisource Social Networks by Leveraging Knowledge Graphs
- 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
- Identifying Contextualized Focal Structures in Multisource Social Networks by Leveraging Knowledge Graphs
- 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
- Navigating the Anomalies: A Comprehensive Analysis of YouTube Channel Behavior
- Exposure, Skepticism, and Switching: A Behavioral Model of Narrative Diffusion
- Modeling Word-Level Functions in Social Movement Discourse
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