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A statistical network analysis of the HIV/AIDS epidemics in Cuba

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Stéphan Clémençon, Hector De Arazoza (MATCOM), Fabrice Rossi, Viet Chi Tran

Applications · Submitted 24 Jan 2014

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim The Cuban contact-tracing detection system set up in 1986 allowed the reconstruction and analysis of the sexual network underlying the epidemic (5,389 vertices and 4,073 edges, giant component of 2,386 nodes and 3,168 edges), shedding light onto the spread of HIV and the role of contact-tracing.

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arXiv ID1401.6449 (version 4)
Pith IDDBDWHPOY, Pith's permanent record of this paper and its review
CitationFabrice Rossi, Hector De Arazoza (MATCOM), St\'ephan Cl\'emen\c{c}on, Viet Chi Tran. "A statistical network analysis of the HIV/AIDS epidemics in Cuba." arXiv:1401.6449 (2014). https://pith.science/paper/DBDWHPOY
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The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 3,697 input tokens, $0.0002 reported.

What the abstract itself states, as probabilities: claims first 0.04 · states limitation 0.84 · human participants 0.82 · controlled comparison 0.03 · randomized assignment 0.01 · states quantitative result 0.98 · compares with prior results 0.29 · mentions code or data availability 0.03.

The abstract, sentence by sentence

arXiv listing abstract v4. Results and the main claim are underlined; .

The Cuban contact-tracing detection system set up in 1986 allowed the reconstruction and analysis of the sexual network underlying the epidemic (5,389 vertices and 4,073 edges, giant component of 2,386 nodes and 3,168 edges), shedding light onto the spread of HIV and the role of contact-tracing. Clustering based on modularity optimization provides a better visualization and understanding of the network, in combination with the study of covariates. The graph has a globally low but heterogeneous density, with clusters of high intraconnectivity but low interconnectivity. Though descriptive, our results pave the way for incorporating structure when studying stochastic SIR epidemics spreading on social networks.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 The Cuban contact-tracing detection system set up in 1986 allowed the reconstruction and analysis of the sexual network underlying the epidemic (5,389 vertices and 4,073 edges, giant component of 2,386 nodes and 3,168 edges), shedding light onto the spread of HIV and the role of contact-tracing. contribution 0.40 0.88 0.27 asserted 1.00
s1 Clustering based on modularity optimization provides a better visualization and understanding of the network, in combination with the study of covariates. method 0.65 0.59 0.12 asserted 0.98
s2 The graph has a globally low but heterogeneous density, with clusters of high intraconnectivity but low interconnectivity. result 1.00 0.88 0.12 asserted 1.00
s3 Though descriptive, our results pave the way for incorporating structure when studying stochastic SIR epidemics spreading on social networks. future work 0.86 0.56 0.30 hedged possibility 0.71

What kind of paper the classifier reports this is: empirical study 0.99 · evidence from analysis of existing data 1.00.

What was examined, and what was not

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  • figures and tables
  • references and citing sentences
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  • P abstract
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  • S sections
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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

The Cuban contact-tracing detection system set up in 1986 allowed the reconstruction and analysis of the sexual network underlying the epidemic (5,389 vertices and 4,073 edges, giant component of 2,386 nodes and 3,168 edges), shedding light onto the spread of HIV and the role of contact-tracing. Clustering based on modularity optimization provides a better visualization and understanding of the network, in combination with the study of covariates. The graph has a globally low but heterogeneous density, with clusters of high intraconnectivity but low interconnectivity. Though descriptive, our results pave the way for incorporating structure when studying stochastic SIR epidemics spreading on social networks.

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