Nitin Agarwal
Sourced from institutional research profiles (UAMS TRI or ARA).
COSMOS Research Center - Social Media Analytics and Socio-Cognitive Security
Also affiliated: Creighton University (2023); Dr. A.P.J. Abdul Kalam Technical University (2025); University of Engineering & Management (2013); International Computer Science Institute (2025–2026); University of Waterloo (2014); National Institute of Technology Durgapur (2014–2022); University of Illinois Urbana-Champaign (2007–2010); University of California, Irvine (2018); University of Arkansas System (2011–2025); University of California System (2016); Indian Institute of Management Indore (2005–2012); Arkansas Department of Agriculture (2024); Arizona State University (2005–2018); Indian Institute of Technology Hyderabad (2014–2015); European Organization for Nuclear Research (2014); Carnegie Mellon University (2011); University of California, Berkeley (2025–2026)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Dr. Nitin Agarwal is the founding director of the Collaboratorium for Social Media and Online Behavioral Studies (COSMOS) and the Jerry L. Maulden-Entergy Endowed Chair and Distinguished Professor of Information Science at the University of Arkansas – Little Rock. His research focuses on understanding the dynamics of digital and cyber social behaviors on contemporary information and communication platforms.
Under his leadership, COSMOS has secured over $25 million in funding from federal agencies including the Department of Defense, DARPA, the Department of State, and the National Science Foundation. This work supports a significant partnership between UA Little Rock and the Department of Homeland Security. Dr. Agarwal developed social media analysis tools, Blogtracker and YouTubeTracker, which have been utilized by organizations such as NATO Strategic Communications and Public Affairs, European Defense agencies, and the Arkansas Attorney General’s office.
His scholarly contributions are reflected in a h-index of 30, with over 325 publications and 4,334 citations. Dr. Agarwal is recognized as an ARA Academy member (ARA Scholar) in the research area of Cyber Social Computing and is designated as a highly cited researcher.
Metrics
- h-index: 30
- Publications: 344
- Citations: 4,362
Positions
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Maulden-Entergy Endowed Chair and Distinguished Professor 2009–presentUniversity of Arkansas at Little Rock Information Science ORCID
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COSMOS Research Center - Social Media Analytics and Socio-Cognitive Security publications 2006–2026University of Arkansas at Little Rock Institutional directory
Selected Publications
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Narrative Shifts in YouTube Recommendation Networks: A Depth-Based Analysis of the Indonesian Protest (2026)
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Toxic Unity: Behavioral Homogenization and the Inverse Toxicity-Cohesion Mechanism in Protest Movements (2026)
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Focal Collective Actors as Narrative Structures: Cross-Platform Brokerage in Digital Protest (2026)
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Studying Emotional and Trust-building Effects of Symbolic Communication on YouTube (2026)
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Beyond Algorithmic Detection: How Community Expertise Moderates Toxic Algospeak via Dual Cognitive Mechanisms (2026)
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Quantifying Algorithmic Entrapment in YouTube Recommendation Network: A Composite Measure of Structure and Persuasion (2026)
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ViMET-R: Auditing Activity-Level Bias in YouTube Shorts Recommendations (2026)
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Uncovering Channel-Level Behaviors via Multimodal Characterization in YouTube Content (2026)
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Toxicity-Driven Behavioral Homogenization in Multilayer Political Networks: Cross-Dimensional Coupling During Russia-Ukraine Conflict (2026)
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Characterizing YouTube Channels via Multi-View Content Similarity (2026)
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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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Weighted Focal Structure Analysis for Coordinated Toxicity Propagation in Social Networks (2026)
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CI-FSA: Toward Scalable Discovery of Influential Groups in Social Networks (2026)
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Narrative Diffusion in Social Topologies: A Comparative Study of LLM-Driven Dynamics (2026)
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The Network Effect of Shared Grievances: Measuring Collective Concern of Tariff Policy (2026)
ARA Academy 2018 ARA Scholar
Dr. Agarwal directs the Collaboratorium for Social Media and Online Behavioral Studies (COSMOS). His work centers on cyber social behaviors in modern information platforms with applications spanning defense, security, health, business, marketing, finance, and education. His specific areas include cyber information campaigns, social computing, deviant behavior modeling, group dynamics, social-cyber forensics, and privacy.
Policy Impact
Directs the COSMOS research center, attracting defense and security funding for social media analytics research that addresses national cybersecurity priorities from Arkansas.
Growth Areas
['Supply Chain Retail & Consumer Analytics']
Collaboration Network
Top Collaborators
- Analyzing Disinformation and Crowd Manipulation Tactics on YouTube
- Analyzing Social Bots and Their Coordination During Natural Disasters
- Examining Botnet Behaviors for Propaganda Dissemination: A Case Study of ISIL's Beheading Videos-Based Propaganda
- Analyzing Deviant Cyber Flash Mobs of ISIL on Twitter
- Flash mob: a multidisciplinary review
Showing 5 of 23 shared publications
- Identifying Toxicity Within YouTube Video Comment
- Analyzing Disinformation and Crowd Manipulation Tactics on YouTube
- YouTube Data Collection Using Parallel Processing
- Comprehensive decomposition optimization method for locating key sets of commenters spreading conspiracy theory in complex social networks
- Finding Fake News Key Spreaders in Complex Social Networks by Using Bi-Level Decomposition Optimization Method
Showing 5 of 18 shared publications
- Focal structures analysis: identifying influential sets of individuals in a social network
- Why students engage in cyber-cheating through a collective movement: A case of deviance and collusion
- Raising and Rising Voices in Social Media
- Online Collective Action and the Role of Social Media in Mobilizing Opinions: A Case Study on Women’s Right-to-Drive Campaigns in Saudi Arabia
- Twitter Quo Vadis: Is Twitter Bitter or Are Tweets Sweet?
Showing 5 of 13 shared publications
- Comprehensive decomposition optimization method for locating key sets of commenters spreading conspiracy theory in complex social networks
- Combining advanced computational social science and graph theoretic techniques to reveal adversarial information operations
- Finding Fake News Key Spreaders in Complex Social Networks by Using Bi-Level Decomposition Optimization Method
- Characterizing Suspicious Commenter Behaviors
- Examining Intensive Groups in YouTube Commenter Networks
Showing 5 of 13 shared publications
- The bias beneath: analyzing drift in YouTube’s algorithmic recommendations
- Emotion Assessment of YouTube Videos using Color Theory
- Examining Multimodel Emotion Assessment and Resonance with Audience on YouTube
- Adopting Parallel Processing for Rapid Generation of Transcripts in Multimedia-rich Online Information Environment
- Analyzing Bias in Recommender Systems: A Comprehensive Evaluation of YouTube's Recommendation Algorithm
Showing 5 of 12 shared publications
- Combining advanced computational social science and graph theoretic techniques to reveal adversarial information operations
- Applying diffusion of innovations theory to social networks to understand the stages of adoption in connective action campaigns
- Adopting Parallel Processing for Rapid Generation of Transcripts in Multimedia-rich Online Information Environment
- Analyzing Bias in Recommender Systems: A Comprehensive Evaluation of YouTube's Recommendation Algorithm
- Investigating Bias in YouTube Recommendations: Emotion, Morality, and Network Dynamics in China-Uyghur Content
Showing 5 of 11 shared publications
- Identifying Toxicity Within YouTube Video Comment
- Developing a socio-computational approach to examine toxicity propagation and regulation in COVID-19 discourse on YouTube
- Applying diffusion of innovations theory to social networks to understand the stages of adoption in connective action campaigns
- Developing an Epidemiological Model to Study Spread of Toxicity on YouTube
- Assessing Bias in YouTube’s Video Recommendation Algorithm in a Cross-lingual and Cross-topical Context
Showing 5 of 10 shared publications
- 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
- Evaluating Structural Attractors and Retainers in YouTube Recommendation Networks
- How Far Is Too Far? Modeling User Attraction Pathways in Recommendation Networks via Random Walk Variants
Showing 5 of 10 shared publications
- Inductive Anomaly Detection on Attributed Networks
- Modeling and Data Mining in Blogosphere
- Social Bots and Their Coordination During Online Campaigns: A Survey
- Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects
- Social Cyber-Security
Showing 5 of 9 shared publications
- Identifying Toxicity Within YouTube Video Comment
- Developing a socio-computational approach to examine toxicity propagation and regulation in COVID-19 discourse on YouTube
- Developing an Epidemiological Model to Study Spread of Toxicity on YouTube
- Analyzing Social and Communication Network Structures of Social Bots and Humans
- Dynamics of Online Toxicity in the Asia-Pacific Region
Showing 5 of 8 shared publications
- Developing a socio-computational approach to examine toxicity propagation and regulation in COVID-19 discourse on YouTube
- Assessing the influence and reach of digital activity amongst far-right actors: A comparative evaluation of mainstream and ‘free speech’ social media platforms
- Dynamics of Online Toxicity in the Asia-Pacific Region
- A public online resource to track COVID-19 misinfodemic
- Understanding Information Operations using YouTubeTracker
Showing 5 of 7 shared publications
- Are Narratives Contagious? Modeling Narrative Diffusion Using Epidemiological Theories
- Modeling polarized information diffusion with SEI(A)I(D)Z: a stance-based epidemiological approach
- Symbolic signals on Instagram: how visual media shapes engagement, emotion, trust, and diffusion
- Narrative diffusion in social networks: a survey
- How Do Competing Narratives Spread? A Stance-Based Epidemiological Approach
Showing 5 of 7 shared publications
- Raising and Rising Voices in Social Media
- Online Collective Action and the Role of Social Media in Mobilizing Opinions: A Case Study on Women’s Right-to-Drive Campaigns in Saudi Arabia
- FINDING HER MASTER’S VOICE: THE POWER OF COLLECTIVE ACTION AMONG FEMALE MUSLIM BLOGGERS
- Collective Action Theory Meets the Blogosphere: A New Methodology
- Bridging Women Rights Networks
Showing 5 of 6 shared publications
- Social Bots and Their Coordination During Online Campaigns: A Survey
- Developing a socio-computational approach to examine toxicity propagation and regulation in COVID-19 discourse on YouTube
- Analyzing Social Bots and Their Coordination During Natural Disasters
- Telegram: Data Collection, Opportunities and Challenges
- Analyzing Social and Communication Network Structures of Social Bots and Humans
Showing 5 of 6 shared publications
- A study of homophily on social media
- Investigating Homophily in Online Social Networks
- Does Similarity Breed Connection? - An Investigation in Blogcatalog and Last.fm Communities
- Identifying focal patterns in social networks
- A Study of Homophily on Social Media
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