Ridwan Amure Source Confirmed

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

Researcher

University of Arkansas at Little Rock

faculty

3 h-index 13 pubs 28 cited

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Biography and Research Information

OverviewAI-generated summary

Ridwan Amure's research focuses on the analysis and modeling of social networks, particularly employing knowledge graphs to identify contextualized focal structures and model cross-platform narrative templates. His work investigates methods for detecting and measuring anomalous behaviors on platforms like YouTube, utilizing techniques such as label propagation and partial-label approaches. Amure has published research on knowledge graph construction for multi-source heterogeneous social networks and comparative evaluations of social network analysis tools.

His recent publications include studies on "Identifying Contextualized Focal Structures in Multisource Social Networks by Leveraging Knowledge Graphs" and "Modeling Cross-Platform Narrative Templates: A Temporal Knowledge Graph Approach." Amure collaborates with several researchers at the University of Arkansas at Little Rock, including Abiola Akinnubi, Nitin Agarwal, and Mustafa Alassad, with whom he shares multiple publications. His scholarship metrics include an h-index of 3, with 13 total publications and 28 total citations.

Metrics

  • h-index: 3
  • Publications: 13
  • Citations: 28

Selected Publications

  • Co-commenters as clues: a partial-label approach to detecting anomalous channels on Youtube (2025) DOI
  • Navigating the Anomalies: A Comprehensive Analysis of YouTube Channel Behavior (2025) DOI
  • Detecting and Measuring Anomalous Behaviors on YouTube (2025) DOI
  • Modeling cross-platform narrative templates: a temporal knowledge graph approach (2025) DOI
  • A comparative evaluation of social network analysis tools: performance and community engagement perspectives (2025) DOI
  • A Comparative Evaluation of Social Network Analysis Tools: Performance and Community Engagement Perspectives (2024) DOI
  • KG-CFSA: a comprehensive approach for analyzing multi-source heterogeneous social network knowledge graph (2024) DOI
  • KG-CFSA: A Comprehensive Approach for Analyzing Multi-source Heterogeneous Social Network Knowledge Graph (2024) DOI

Collaborators

Researchers in the database who share publications

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