Md. Monoarul Islam Bhuiyan Source Confirmed

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

Researcher

University of Arkansas at Little Rock

unknown

2 h-index 5 pubs 6 cited

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Biography and Research Information

OverviewAI-generated summary

Md. Monoarul Islam Bhuiyan's research investigates the influence of semiotics and symbolic signals on social media engagement, particularly within information campaigns and on platforms like Instagram. His work examines how visual media shapes user engagement, emotion, trust, and the diffusion of information. Bhuiyan also studies the structural dynamics of online recommendation networks, specifically focusing on YouTube. He investigates methods for detecting algorithmic homophily in these networks by analyzing weighted topic distributions and the interplay of structure and semantics that contribute to user attraction within recommender systems. Bhuiyan's recent publications in 2025 and 2026 reflect his active engagement in these areas.

Metrics

  • h-index: 2
  • Publications: 5
  • Citations: 6

Selected Publications

  • Evaluating Structural Attractors and Retainers in YouTube Recommendation Networks (2026) DOI
  • Detecting Algorithmic Homophily in Recommendation Graphs via Weighted Topic Distribution (2025) DOI
  • Structure, Semantics, and Attraction: Analyzing Homophily in Recommender Networks (2025) DOI
  • Symbolic signals on Instagram: how visual media shapes engagement, emotion, trust, and diffusion (2025) DOI

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