Ridwan Amure Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

Last publication 2025 Last refreshed 2026-05-16

faculty

4 h-index 13 pubs 46 cited

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

  • 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)
    1 citation DOI OpenAlex
  • Modeling Cross-Platform Narrative Diffusion: A Multiplex Approach to Information Spread in Social Media Ecosystems (2026)
    1 citation DOI OpenAlex
  • 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)
    1 citation DOI OpenAlex
  • Co-commenters as clues: a partial-label approach to detecting anomalous channels on Youtube (2025)
    1 citation DOI OpenAlex
  • Navigating the Anomalies: A Comprehensive Analysis of YouTube Channel Behavior (2025)
  • Detecting and Measuring Anomalous Behaviors on YouTube (2025)
    3 citations DOI OpenAlex
  • Modeling cross-platform narrative templates: a temporal knowledge graph approach (2025)
    9 citations DOI OpenAlex
  • A comparative evaluation of social network analysis tools: performance and community engagement perspectives (2025)
    8 citations DOI OpenAlex
  • A Comparative Evaluation of Social Network Analysis Tools: Performance and Community Engagement Perspectives (2024)
  • KG-CFSA: a comprehensive approach for analyzing multi-source heterogeneous social network knowledge graph (2024)
    5 citations DOI OpenAlex
  • Toward Improved Clustering for Textual Data (2024)
    2 citations DOI OpenAlex

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Collaboration Network

7 Collaborators 2 Institutions 1 Country

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