Mustafa Alassad Source Confirmed

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

Researcher

University of Arkansas at Little Rock

faculty

8 h-index 32 pubs 166 cited

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Biography and Research Information

OverviewAI-generated summary

Mustafa Alassad's research focuses on the application of computational social science techniques to understand and mitigate the spread of malicious information and coordinated cyber threats within social networks. His work involves characterizing commenter behaviors on platforms like YouTube and developing models to identify key actors spreading misinformation and conspiracy theories.

Alassad investigates methods for contextualizing focal structures in multisource social networks, often leveraging knowledge graphs. He has also explored agent-based modeling to minimize the dissemination of harmful content in dynamic social network environments. His publications include studies on identifying suspicious commenter behaviors and using computational techniques to detect coordinated cyber threats to smart city networks.

Alassad has a h-index of 8 with 32 publications and 166 citations. He has collaborated with several researchers at the University of Arkansas at Little Rock, including Nitin Agarwal, Stella Mbila-Uma, Ifeanyichukwu Umoga, and Abiola Akinnubi.

Metrics

  • h-index: 8
  • Publications: 32
  • Citations: 166

Selected Publications

  • Mitigating the Spread of COVID-19 Misinformation Using Agent-Based Modeling and Delays in Information Diffusion (2025) DOI
  • KG-CFSA: a comprehensive approach for analyzing multi-source heterogeneous social network knowledge graph (2024) DOI
  • The Multi-attribute impact of hyperlinks in blogs: an emotion-centric approach (2024) DOI
  • Reducing COVID-19 Misinformation Spread by Introducing Information Diffusion Delay Using Agent-based Modeling (2024) DOI
  • Exploring Hidden Patterns and Interests on Twitter through Contextual Focal Structure Analysis (2024) DOI
  • The Multi-attribute Impact of Hyperlinks in Blogs: An Emotion-Centric Approach (2024) DOI
  • KG-CFSA: A Comprehensive Approach for Analyzing Multi-source Heterogeneous Social Network Knowledge Graph (2024) DOI
  • Uncovering Latent Influential Patterns and Interests on Twitter Using Contextual Focal Structure Analysis Design (2024) DOI
  • Analyzing Blogs About Uyghur Discourse Using Topic Induced Hyperlink Network (2024) DOI
  • Focal Structures Behavior in Dynamic Social Networks (2024) DOI
  • Knowledge Graph Embedding for Topical and Entity Classification in Multi-Source Social Network Data (2023) DOI
  • Characterizing Suspicious Commenter Behaviors (2023) DOI
  • Correction to: Conducting Morality and Emotion Analysis on Blog Discourse (2023) DOI
  • Conducting Morality and Emotion Analysis on Blog Discourse (2023) DOI
  • Developing an agent-based model to minimize spreading of malicious information in dynamic social networks (2023) DOI

Collaborators

Researchers in the database who share publications

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