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

Do village-level normative and network factors help explain spatial variability in adolescent childbearing in rural Honduras?
7 | Honduras , LMIC , Maternal and Child Health (MNCH) , Social Network , Sociocentric Network , Global Health , Trellis Software

Citation:

H.B. Shakya, Weeks J., and N. A. Christakis, “Do village-level normative and network factors help explain spatial variability in adolescent childbearing in rural Honduras?,” SSM - Population Health, 9(2019): 100371 (Dec 2019) DOI: 10.1016/j.ssmph.2019.100371

Food insecurity, social networks and symptoms of depression among men and women in rural Uganda: a cross-sectional, population-based study
5 | LMIC , Mental Health , Uganda , Social Network , Global Health

Citation:

J. M. Perkins, V. N. Nyakato, B. Kakuhikire, A. C. Tsai, S. V. Subramanian, D. R. Bangsberg, and N. A. Christakis, “Food insecurity, social networks and symptoms of depression among men and women in rural Uganda: a cross-sectional, population-based study,” Public Health Nutrition, 21(5), 838–848 (Oct 2019) DOI: 10.1017/S1368980017002154

Social Network Correlates of IPV Acceptance in Rural Honduras and Rural Uganda
9 | Honduras , Uganda , Social Network , LMIC , Maternal and Child Health (MNCH) , Sociocentric Network , Global Health , Trellis Software , Violence

Citation:

H.B. Shakya, J. M. Perkins, M. Traeger, A. C. Tsai, D. R. Bangsberg, B. Kakuhikire, and N. A. Christakis, “Social Network Correlates of IPV Acceptance in Rural Honduras and Rural Uganda,” SSM Population Health, 236-243. (Feb 2018) DOI: 10.1016/j.ssmph.2018.02.001

Locally Noisy Autonomous Agents Improve Global Human Coordination in Network Experiments (Nature, 2017)
13 | Methodology , Artificial Intelligence (AI) , Biological Network , Behavior Genetics , Social Network , Sociocentric Network , Bots , NAC Favorite , Nature , Breadboard Software , Experiment , Hybrid Systems , Public Goods

Citation:

H. Shirado and N.A. Christakis, "Locally Noisy Autonomous Agents Improve Global Human Coordination in Network Experiments" Nature, 545, 370–374 (18 May 2017) doi:10.1038/nature22332

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