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.
Graduate Research Assistant
Also affiliated: University of Arkansas System (2025)
Research Areas
Biomedical Subjects
Links
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 and modeling cross-platform narrative templates. Amure has also explored the comparative performance and community engagement of various social network analysis tools.
His research extends to detecting and measuring anomalous behaviors on platforms like YouTube, employing techniques such as label propagation for anomalous channel detection. Amure has a substantial record of collaboration with researchers at the University of Arkansas at Little Rock, including Nitin Agarwal, with whom he shares 12 publications. His scholarly output is reflected in an h-index of 5 and 72 total citations across 22 publications.
Metrics
- h-index: 5
- Publications: 25
- Citations: 74
Positions
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Graduate Research Assistant 2023–presentUniversity of Arkansas at Little Rock COSMOS Research Center ORCID
Selected Publications
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Focal Collective Actors as Narrative Structures: Cross-Platform Brokerage in Digital Protest (2026)Journal of the Association for Information Systems OpenAlex
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Modeling cross-platform narrative diffusion: a stable Hawkes–ODE framework for exposure and adoption dynamics (2026)
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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)
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
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