Induction of Social Contagion Across Diverse Outcomes in Structured Experiments in Isolated Honduras Villages (Science, 2024)
9 | Maternal and Child Health (MNCH) , Experiment , Network Targeting , Contagion Intervention , Breadboard Software , Global Health , LIMC , Social Contagion , Social Network

Citation:

Airoldi EM, Christakis NA. Induction of social contagion for diverse outcomes in structured experiments in isolated villages. Science. 2024 May 3;384(6695):eadi5147. doi: 10.1126/science.adi5147. Epub 2024 May 3. PMID: 38696582.

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

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

Collective Communication and Behaviour in Response to Uncertain “Danger” in Network Experiments
8 | Connection Intervention , Breadboard Software , Social Network , Sociocentric Network , Experiment , NAC Favorite , Social Contagion , Network Targeting

Citation:

H. Shirado, F. Crawford, and N. A. Christakis, “Collective Communication and Behaviour in Response to Uncertain “Danger” in Network Experiments,” Proceedings A of the Royal Society, 476(2237): 1-19 (May 2020) DOI: 10.1098/rspa.2019.0685

Surgeon peer network characteristics and adoption of new imaging techniques in breast cancer: A study of perioperative MRI
4 | Cancer , Physician Network , Social Contagion , Health Services Research

Citation:

S. Tannenbaum, P. R. Soulos, J. Herrin, C. E. Pollack, X. Xu, N. A. Christakis, H. P. Forman, J. B. Yu, B. K. Killelea, S. Y. Wang, and C. P. Gross, “Surgeon peer network characteristics and adoption of new imaging techniques in breast cancer: A study of perioperative MRI,” Cancer Medicine, 7(12): 5901-5909 (Dec 2018) DOI: 10.1002/cam4.1821

 

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