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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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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.

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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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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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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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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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