Md. Monoarul Islam Bhuiyan Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Graduate Research Assistant
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Biography and Research Information
OverviewAI-generated summary
Md. Monoarul Islam Bhuiyan's research investigates the dynamics of social media engagement and information diffusion, with a focus on how symbolic signals and visual media influence user interaction on platforms like Instagram and YouTube. His work explores the structural properties of recommendation networks, examining how algorithms shape content visibility and user behavior. Bhuiyan has published on topics such as the influence of semiotics on engagement in information campaigns and the detection of algorithmic homophily in recommendation graphs using weighted topic distributions. He has also studied the relationship between structure, semantics, and attraction in recommender networks. Bhuiyan's scholarly contributions include 5 publications with an h-index of 2 and 7 total citations. He has collaborated with researchers such as Mayor Inna Gurung and Nitin Agarwal at the University of Arkansas at Little Rock.
Metrics
- h-index: 3
- Publications: 8
- Citations: 19
Selected Publications
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Attraction and retention dynamics in recommendation graphs: a cross-dataset analysis using uniform and degree-biased random walks (2026)
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TrapIntensity: Quantifying Structural Entrapment via Hop-Aware Attraction and Retention (2026)
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Persuasive Pathways Into Content Traps: The Role of Persuasive Features in Structuring Algorithmic Content Cycles (2026)
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How Far Is Too Far? Modeling User Attraction Pathways in Recommendation Networks via Random Walk Variants (2026)
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Evaluating Structural Attractors and Retainers in YouTube Recommendation Networks (2026)
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Detecting Algorithmic Homophily in Recommendation Graphs via Weighted Topic Distribution (2025)
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Structure, Semantics, and Attraction: Analyzing Homophily in Recommender Networks (2025)
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Symbolic signals on Instagram: how visual media shapes engagement, emotion, trust, and diffusion (2025)
Collaboration Network
Top Collaborators
- How does Semiotics Influence Social Media Engagement in Information Campaigns?
- Symbolic signals on Instagram: how visual media shapes engagement, emotion, trust, and diffusion
- Structure, Semantics, and Attraction: Analyzing Homophily in Recommender Networks
- Detecting Algorithmic Homophily in Recommendation Graphs via Weighted Topic Distribution
- How does Semiotics Influence Social Media Engagement in Information Campaigns?
- Symbolic signals on Instagram: how visual media shapes engagement, emotion, trust, and diffusion
- Symbolic signals on Instagram: how visual media shapes engagement, emotion, trust, and diffusion
- Evaluating Structural Attractors and Retainers in YouTube Recommendation Networks
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