EstGraph benchmark evaluates LLMs on estimating properties of very large graphs from random-walk samples that fit in context limits.
Adamic and Natalie Glance
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Bayesian ideal point model applied to 341k Debate.org votes finds conviction drives personal freedom topics while conformity drives moral conviction topics including abortion, gun rights, and global warming.
Reddit analysis finds MAHA users show strong cross-theme belief bundling and network coherence unlike anti-MAHA users, with pandemic-era shifts from anti-fluoride/mask to anti-vaccine to broader anti-science engagement.
Proposes a fairness and diversity aware model for ranking participatory media content and evaluates it using call logs from a rural Indian voice platform against manual curation.
A literature survey that proposes a multidimensional taxonomy for community detection, introduces a general mathematical formalization accommodating disjoint/overlapping/fuzzy structures, reviews modularity functions and both algorithmic and mathematical programming methods, and discusses benchmark
citing papers explorer
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Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks
EstGraph benchmark evaluates LLMs on estimating properties of very large graphs from random-walk samples that fit in context limits.
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Disentangling conviction and conformity: a Bayesian ideal point model of voting behaviour in online debates
Bayesian ideal point model applied to 341k Debate.org votes finds conviction drives personal freedom topics while conformity drives moral conviction topics including abortion, gun rights, and global warming.
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The Structure and Dynamics of the Online MAHA-sphere
Reddit analysis finds MAHA users show strong cross-theme belief bundling and network coherence unlike anti-MAHA users, with pandemic-era shifts from anti-fluoride/mask to anti-vaccine to broader anti-science engagement.
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Fairness and Diversity in the Recommendation and Ranking of Participatory Media Content
Proposes a fairness and diversity aware model for ranking participatory media content and evaluates it using call logs from a rural Indian voice platform against manual curation.
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A Survey of Community Detection from an Operations Research Perspective: Taxonomy, Mathematical Formulations, Modularity Functions, and Benchmark Datasets
A literature survey that proposes a multidimensional taxonomy for community detection, introduces a general mathematical formalization accommodating disjoint/overlapping/fuzzy structures, reviews modularity functions and both algorithmic and mathematical programming methods, and discusses benchmark