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Why Subgraph Mining Matters
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Subgraph mining often sounds academic, but it plays a critical role in how we uncover repeating structure, behavior, and intent in complex systems such as social networks, transaction graphs, biological networks, and knowledge graphs.
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publications
Lithology Identification and Prediction using Clustering Algorithms
Published in In the proceedings of NAPE Bulletin, 2021
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Recommended citation: Ridwan Amure, Olatunbosun Alao, Dele Falebita, "Lithology Identification and Prediction using Clustering Algorithms." In the proceedings of NAPE Bulletin, 2021.
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Identifying contextualized focal structures in multisource social networks by leveraging knowledge graphs
Published in In the proceedings of International conference on complex networks and their applications, 2023
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Recommended citation: Abiola Akinnubi, Mustafa Alassad, Nitin Agarwal, Ridwan Amure, "Identifying contextualized focal structures in multisource social networks by leveraging knowledge graphs." In the proceedings of International conference on complex networks and their applications, 2023.
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Toward Improved Clustering for Textual Data
Published in In the proceedings of International Conference on Computing and Communication Networks, 2023
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Recommended citation: Ridwan Amure, Abiola Akinnubi, Oyindamola Koleoso, "Toward Improved Clustering for Textual Data." In the proceedings of International Conference on Computing and Communication Networks, 2023.
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Analyzing Anomalous Engagement and Commenter Behavior on YouTube
Published in In the proceedings of Thirtieth Americas Conference on Information Systems, 2024
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Recommended citation: Shadi Shajari, Ridwan Amure, Nitin Agarwal, "Analyzing Anomalous Engagement and Commenter Behavior on YouTube." In the proceedings of Thirtieth Americas Conference on Information Systems, 2024.
Detecting and measuring anomalous behaviors on youtube
Published in In the proceedings of International Conference on Advances in Social Networks Analysis and Mining, 2024
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Recommended citation: Shadi Shajari, Ridwan Amure, Nitin Agarwal, "Detecting and measuring anomalous behaviors on youtube." In the proceedings of International Conference on Advances in Social Networks Analysis and Mining, 2024.
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KG-CFSA: a comprehensive approach for analyzing multi-source heterogeneous social network knowledge graph
Published in Social Network Analysis and Mining, 2024
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Recommended citation: Abiola Akinnubi, Mustafa Alassad, Ridwan Amure, Nitin Agarwal, "KG-CFSA: a comprehensive approach for analyzing multi-source heterogeneous social network knowledge graph." Social Network Analysis and Mining, 2024.
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Navigating the anomalies: A comprehensive analysis of youtube channel behavior
Published in In the proceedings of International Conference on Advances in Social Networks Analysis and Mining, 2024
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Recommended citation: Shadi Shajari, Ridwan Amure, Nitin Agarwal, "Navigating the anomalies: A comprehensive analysis of youtube channel behavior." In the proceedings of International Conference on Advances in Social Networks Analysis and Mining, 2024.
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A comparative evaluation of social network analysis tools: performance and community engagement perspectives
Published in Social Network Analysis and Mining, 2025
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Recommended citation: Ridwan Amure, Nitin Agarwal, "A comparative evaluation of social network analysis tools: performance and community engagement perspectives." Social Network Analysis and Mining, 2025.
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Analysis of Cross-Platform Narrative Dissemination Through Contextual Focal Structures
Published in In the proceedings of Proceedings of the 17th International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2025), 2025
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Recommended citation: Ridwan Amure, Nitin Agarwal, "Analysis of Cross-Platform Narrative Dissemination Through Contextual Focal Structures." In the proceedings of Proceedings of the 17th International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2025), 2025.
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Co-commenters as clues: a partial-label approach to detecting anomalous channels on Youtube
Published in Social Network Analysis and Mining, 2025
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Recommended citation: Ridwan Amure, Nitin Agarwal, "Co-commenters as clues: a partial-label approach to detecting anomalous channels on Youtube." Social Network Analysis and Mining, 2025.
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Evaluating Synthetic Data Generation Methods for Anomalous Channel Detection in Sparse-Label Environments
Published in In the proceedings of In Proceedings of the 16th International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS 2025), 2025
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Recommended citation: Ridwan Amure, Nitin Agarwal, "Evaluating Synthetic Data Generation Methods for Anomalous Channel Detection in Sparse-Label Environments." In the proceedings of In Proceedings of the 16th International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS 2025), 2025.
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Memory-driven modeling of herpes simplex virus type-1 and type-2 dynamics with neural network optimization
Published in Computer Methods and Programs in Biomedicine, 2025
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Recommended citation: Zhang Nan, Emmanuel Addai, Ridwan Amure, Rebecca Bottey, Enoch Larrey, Mercy Ngungu, "Memory-driven modeling of herpes simplex virus type-1 and type-2 dynamics with neural network optimization." Computer Methods and Programs in Biomedicine, 2025.
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Modeling Cross-Platform Narrative Diffusion: A Multiplex Approach to Information Spread in Social Media Ecosystems
Published in In the proceedings of Proceedings of the 17th International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2025), 2025
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Recommended citation: Ridwan Amure, Nitin Agarwal, "Modeling Cross-Platform Narrative Diffusion: A Multiplex Approach to Information Spread in Social Media Ecosystems." In the proceedings of Proceedings of the 17th International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2025), 2025.
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Modeling Word-Level Functions in Social Movement Discourse
Published in In the proceedings of International Conference on Information Systems (ICIS) 2025, 2025
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Recommended citation: Ridwan Amure, Nitin Agarwal, "Modeling Word-Level Functions in Social Movement Discourse." In the proceedings of International Conference on Information Systems (ICIS) 2025, 2025.
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Modeling cross-platform narrative templates: a temporal knowledge graph approach
Published in Social Network Analysis and Mining, 2025
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Recommended citation: Ridwan Amure, Nitin Agarwal, "Modeling cross-platform narrative templates: a temporal knowledge graph approach." Social Network Analysis and Mining, 2025.
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Exposure, skepticism, and switching: a behavioral model of narrative diffusion
Published in In the proceedings of Proceedings of the 59th Hawaii International Conference on System Sciences, 2026
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Recommended citation: Ridwan Amure, Nitin Agarwal, "Exposure, skepticism, and switching: a behavioral model of narrative diffusion." In the proceedings of Proceedings of the 59th Hawaii International Conference on System Sciences, 2026.
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talks
EAGE NG-YP Python Virtual Classroom
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EAGE NG-YP Scientific Modelling Workshop
Published:
Building and Deploying Retrieval-Augmented Generation (RAG) Systems for Quality Business Impact
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