Mustafa Alassad
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Researcher
Also affiliated: Arkansas Department of Agriculture (2022–2025); Cosmos Corporation (United States) (2024)
Faculty Researcher
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Mustafa Alassad's research focuses on the application of computational social science techniques to analyze and understand complex social networks. His work investigates methods for identifying and characterizing suspicious or coordinated behaviors within these networks, particularly in the context of spreading information and potential threats. Alassad has published on approaches to decomposing social networks to locate key influencers and has explored the use of knowledge graphs to contextualize focal structure analysis in multisource social networks. His research also extends to identifying coordinated cyber threats within smart city networks using computational social science methods. He has a publication record of 32 works, with 212 citations and an h-index of 9. Alassad frequently collaborates with researchers at the University of Arkansas at Little Rock, including Nitin Agarwal, Stella Mbila-Uma, Ifeanyichukwu Umoga, and Abiola Akinnubi.
Metrics
- h-index: 9
- Publications: 32
- Citations: 216
Selected Publications
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Mitigating the Spread of COVID-19 Misinformation Using Agent-Based Modeling and Delays in Information Diffusion (2025)
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KG-CFSA: a comprehensive approach for analyzing multi-source heterogeneous social network knowledge graph (2024)
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The Multi-attribute impact of hyperlinks in blogs: an emotion-centric approach (2024)
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Reducing COVID-19 Misinformation Spread by Introducing Information Diffusion Delay Using Agent-based Modeling (2024)
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Exploring Hidden Patterns and Interests on Twitter through Contextual Focal Structure Analysis (2024)
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The Multi-attribute Impact of Hyperlinks in Blogs: An Emotion-Centric Approach (2024)
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KG-CFSA: A Comprehensive Approach for Analyzing Multi-source Heterogeneous Social Network Knowledge Graph (2024)
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Uncovering Latent Influential Patterns and Interests on Twitter Using Contextual Focal Structure Analysis Design (2024)
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Analyzing Blogs About Uyghur Discourse Using Topic Induced Hyperlink Network (2024)
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Focal Structures Behavior in Dynamic Social Networks (2024)
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Knowledge Graph Embedding for Topical and Entity Classification in Multi-Source Social Network Data (2023)
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Characterizing Suspicious Commenter Behaviors (2023)
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Correction to: Conducting Morality and Emotion Analysis on Blog Discourse (2023)
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Conducting Morality and Emotion Analysis on Blog Discourse (2023)
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Developing an agent-based model to minimize spreading of malicious information in dynamic social networks (2023)
Collaboration Network
Top Collaborators
- Comprehensive decomposition optimization method for locating key sets of commenters spreading conspiracy theory in complex social networks
- Characterizing Suspicious Commenter Behaviors
- Contextualizing focal structure analysis in social networks
- Using Computational Social Science Techniques to Identify Coordinated Cyber Threats to Smart City Networks
- A Systematic Approach for Contextualizing Focal Structure Analysis in Social Networks
Showing 5 of 19 shared publications
- Conducting Morality and Emotion Analysis on Blog Discourse
- Analyzing Blogs About Uyghur Discourse Using Topic Induced Hyperlink Network
- The Multi-attribute impact of hyperlinks in blogs: an emotion-centric approach
- Correction to: Conducting Morality and Emotion Analysis on Blog Discourse
- The Multi-attribute Impact of Hyperlinks in Blogs: An Emotion-Centric Approach
- Conducting Morality and Emotion Analysis on Blog Discourse
- Analyzing Blogs About Uyghur Discourse Using Topic Induced Hyperlink Network
- The Multi-attribute impact of hyperlinks in blogs: an emotion-centric approach
- Correction to: Conducting Morality and Emotion Analysis on Blog Discourse
- The Multi-attribute Impact of Hyperlinks in Blogs: An Emotion-Centric Approach
- KG-CFSA: a comprehensive approach for analyzing multi-source heterogeneous social network knowledge graph
- KG-CFSA: A Comprehensive Approach for Analyzing Multi-source Heterogeneous Social Network Knowledge Graph
- Knowledge Graph Embedding for Topical and Entity Classification in Multi-Source Social Network Data
- Comprehensive decomposition optimization method for locating key sets of commenters spreading conspiracy theory in complex social networks
- Developing an agent-based model to minimize spreading of malicious information in dynamic social networks
- Uncovering Latent Influential Patterns and Interests on Twitter Using Contextual Focal Structure Analysis Design
- Exploring Hidden Patterns and Interests on Twitter through Contextual Focal Structure Analysis
- KG-CFSA: a comprehensive approach for analyzing multi-source heterogeneous social network knowledge graph
- KG-CFSA: A Comprehensive Approach for Analyzing Multi-source Heterogeneous Social Network Knowledge Graph
- The Multi-attribute impact of hyperlinks in blogs: an emotion-centric approach
- The Multi-attribute Impact of Hyperlinks in Blogs: An Emotion-Centric Approach
- Using Computational Social Science Techniques to Identify Coordinated Cyber Threats to Smart City Networks
- Using Computational Social Science Techniques to Identify Coordinated Cyber Threats to Smart City Networks
- Characterizing Suspicious Commenter Behaviors
- Knowledge Graph Embedding for Topical and Entity Classification in Multi-Source Social Network Data
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