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Identifying Biomarkers for Important Nodes in Networks of Sexual and Drug Activity

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Complex Networks & Their Applications IX (COMPLEX NETWORKS 2020 2020)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 943))

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Abstract

This paper uses network science techniques to evaluate the SATHCAP dataset concerning HIV and drug use. A referral network is generated via respondent-driven sampling, which is used to identify important bridge nodes that are responsible for maintaining the structure of large connected components of sexual and drug-using activity. These nodes are scrutinized to determine biomarkers and social factors that distinguish them from the underlying population. It is found that attributes such as homelessness and sexual abuse are more prevalent in these bridge nodes. These nodes are ill-served by public health efforts, because they are hard to reach and difficult to identify. Intervention campaigns targeted at groups displaying these attributes could meaningfully lower the spread of HIV.

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Notes

  1. 1.

    https://www.icpsr.umich.edu/icpsrweb/NAHDAP/index.jsp.

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Authors and Affiliations

  1. Southern Illinois University Edwardsville, Edwardsville, IL, 62025, USA

    Jacob Grubb, Derek Lopez, Bhuvaneshwar Mohan & John Matta

Authors
  1. Jacob Grubb
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  2. Derek Lopez
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  3. Bhuvaneshwar Mohan
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  4. John Matta
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Corresponding author

Correspondence to John Matta .

Editor information

Editors and Affiliations

  1. Grupo de Sistemas Complejos, Universidad Politécnica de Madrid, Madrid, Madrid, Spain

    Rosa M. Benito

  2. IUT Lumière, University of Lyon, Bron Cedex, France

    Chantal Cherifi

  3. LIB, UFR Sciences et Techniques, Université de Bourgogne, Dijon, France

    Hocine Cherifi

  4. Grupo Interdisciplinar de Sistemas Complejos, Departamento de Matematicas, Universidad Carlos III de Madrid, Leganés, Madrid, Spain

    Esteban Moro

  5. Center for Social and Biomedical Complexity, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, USA

    Luis Mateus Rocha

  6. Department of Chemical Engineering, Universitat Rovira i Virgili, Tarragona, Tarragona, Spain

    Marta Sales-Pardo

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Grubb, J., Lopez, D., Mohan, B., Matta, J. (2021). Identifying Biomarkers for Important Nodes in Networks of Sexual and Drug Activity. In: Benito, R.M., Cherifi, C., Cherifi, H., Moro, E., Rocha, L.M., Sales-Pardo, M. (eds) Complex Networks & Their Applications IX. COMPLEX NETWORKS 2020 2020. Studies in Computational Intelligence, vol 943. Springer, Cham. https://doi.org/10.1007/978-3-030-65347-7_30

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  • DOI: https://doi.org/10.1007/978-3-030-65347-7_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-65346-0

  • Online ISBN: 978-3-030-65347-7

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