Mustafa Alassad Data-verified
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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. His work investigates the characterization of suspicious commenter behaviors on platforms like YouTube, aiming to identify patterns and structures within social networks that facilitate the dissemination of harmful content.
Alassad has developed methods for contextualizing focal structures in multisource social networks, leveraging knowledge graphs to analyze complex interactions. He also explores agent-based modeling to minimize the spread of malicious information in dynamic network environments. His scholarship includes work on identifying key sets of commenters involved in spreading conspiracy theories. He has a record of 32 publications, with 179 citations, and an h-index of 8. Alassad collaborates with several faculty members 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: 193
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
- Characterizing Suspicious Commenter Behaviors
- Identifying Contextualized Focal Structures in Multisource Social Networks by Leveraging Knowledge Graphs
- Contextualizing focal structure analysis in social networks
- Comprehensive decomposition optimization method for locating key sets of commenters spreading conspiracy theory in complex social networks
- A Systematic Approach for Contextualizing Focal Structure Analysis in Social Networks
Showing 5 of 23 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
- Identifying Contextualized Focal Structures in Multisource Social Networks by Leveraging Knowledge Graphs
- 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
- Characterizing Suspicious Commenter Behaviors
- Commenter Behavior Characterization on YouTube Channels
- Detecting Suspicious Commenter Mob Behaviors on YouTube Using Graph2Vec
- Computational Analysis of the Belt and Road Initiative (BRI) Discourse on Indonesian Twitter
- 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
- Identifying Contextualized Focal Structures in Multisource Social Networks by Leveraging Knowledge Graphs
- 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
- 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
- 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
- Commenter Behavior Characterization on YouTube Channels
- Computational Analysis of the Belt and Road Initiative (BRI) Discourse on Indonesian Twitter
- Knowledge Graph Embedding for Topical and Entity Classification in Multi-Source Social Network Data
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