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20212026
most citedLearning future terrorist targets through temporal meta-graphs

37 citations · 118 across the 54 of their papers we have counts for

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33 papers · 1 filter

cs.SI2026

The Structural Influence of Low-Credibility Narratives During the COVID-19 Vaccine Rollout

Lynnette Hui Xian Ng, Wenqi Zhou, Kathleen M. Carley

This work examines the structural influence of low-credibility narratives and the comparative role of automated accounts (bots) versus human users on social media platforms. To mor…

cs.SI2025

Extending the BEND Framework to Webgraphs

Evan M. Williams, Peter Carragher, Kyle Herdrich +2

Attempts to manipulate webgraphs can have many downstream impacts, but analysts lack shared quantitative metrics to characterize actions taken to manipulate information environment…

cs.SI2025

Are LLM-Powered Social Media Bots Realistic?

Lynnette Hui Xian Ng, Kathleen M. Carley

As Large Language Models (LLMs) become more sophisticated, there is a possibility to harness LLMs to power social media bots. This work investigates the realism of generating LLM-P…

cs.SI2025

Star Network Motifs on X during COVID-19

Lynnette Hui Xian Ng, Divyaansh Sinha, Kathleen M. Carley

Social network motifs are recurring patterns of small subgraphs that indicate fundamental patterns of social communication. In this work, we study the simple star network motifs th…

cs.SI2025

Appeal and Scope of Misinformation Spread by AI Agents and Humans

Lynnette Hui Xian Ng, Wenqi Zhou, Kathleen M. Carley

This work examines the influence of misinformation and the role of AI agents, called bots, on social network platforms. To quantify the impact of misinformation, it proposes two ne…

cs.SI2025

Navigating Decentralized Online Social Networks: An Overview of Technical and Societal Challenges in Architectural Choices

Ujun Jeong, Lynnette Hui Xian Ng, Kathleen M. Carley +1

Decentralized online social networks have evolved from experimental stages to operating at unprecedented scale, with broader adoption and more active use than ever before. Platform…