The Structure and Function of Antagonistic Ties in Social Networks
9 | Antagonistic Networks , Honduras , LIMC , Maternal and Child Health (MNCH) , PNAS , Social Contagion , Social Network , Sociocentric Network , Trellis Software

Citation:

Ghasemian A, Christakis NA. The structure and function of antagonistic ties in village social networks. Proceedings of the National Academy of Science of the United States of America (PNAS). 2024 Jun 25;121(26):e2401257121. doi: 10.1073/pnas.2401257121. Epub 2024 Jun 18. PMID: 38889155; PMCID: PMC11214085.

Status invisibility alleviates the economic gradient in happiness in social network experiments
10 | Experiment , Breadboard Software , Inequality , Economics , Mental Health , Social Network , Sociocentric Network , NAC Favorite , Social Contagion , Contagion Intervention

Citation:

Nishi, A., German, C.A., Iwamoto, S.K. et al. Status invisibility alleviates the economic gradient in happiness in social network experiments. Nat. Mental Health 1, 990–1000 (2023). https://doi.org/10.1038/s44220-023-00159-0

Social network correlates of free and purchased insecticide-treated bed nets in rural Uganda
6 | Social Determinants , Social Network , Sociocentric Network , Uganda , Infectious Disease , Global Health

Citation:

S. Takada, P. Krezanoski, V. N. Nyakato, A.J. O'Malley, J. M. Perkins, A. C. Tsai, D. R. Bangsberg, N. A. Christakis, and A. Nishi, “Social network correlates of free and purchased insecticide-treated bed nets in rural Uganda,” Malar J, 21, 350 (2022) (Nov 2022) DOI: https://doi.org/10.1186/s12936-022-04347-8

Algorithms for seeding social networks can enhance the adoption of a public health intervention in urban India (PNAS, 2022)
15 | Methodology , NAC Favorite , PNAS , India , Contagion Intervention , Experiment , Global Health , Social Contagion , Social Network , Sociocentric Network , Maternal and Child Health (MNCH) , LIMC , RCT , Trellis Software , Network Targeting

Citation:

M. Alexander, L. Forastiere, N. A. Christakis, and S. Gupta, “Algorithms for seeding social networks can enhance the adoption of a public health intervention in urban India,” PNAS, 119(30) e2120742119 (May 2022) DOI: https://doi.org/10.1073/pnas.2120742119

​Characterizing super-spreaders using population-level weighted social networks in rural communities
8 | Methodology , Honduras , Epidemic Disease , Infectious Disease , Social Network , Sociocentric Network , Trellis Software , Network Targeting

Citation:

S. Vishnempet Shridhar, M. Alexander, and N. A. Christakis, “​Characterizing super-spreaders using population-level weighted social networks in rural communities,” Philosophical Transactions of the Royal Society A, 380(2214) (Nov 2021) DOI: 10.1098/rsta.2021.0123​

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