N
Nicholas A. Christakis
Researcher at Yale University
Publications - 315
Citations - 52685
Nicholas A. Christakis is an academic researcher from Yale University. The author has contributed to research in topics: Population & Social network. The author has an hindex of 63, co-authored 307 publications receiving 48235 citations. Previous affiliations of Nicholas A. Christakis include Mount Auburn Hospital & University of Notre Dame.
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Journal ArticleDOI
The Spread of Obesity in a Large Social Network over 32 Years
TL;DR: Network phenomena appear to be relevant to the biologic and behavioral trait of obesity, and obesity appears to spread through social ties, which has implications for clinical and public health interventions.
Journal ArticleDOI
Computational Social Science
David Lazer,Alex Pentland,Lada A. Adamic,Sinan Aral,Sinan Aral,Albert-László Barabási,Devon Brewer,Nicholas A. Christakis,Noshir Contractor,James H. Fowler,Myron P. Gutmann,Tony Jebara,Gary King,Michael W. Macy,Deb Roy,Marshall Van Alstyne,Marshall Van Alstyne +16 more
TL;DR: In this article, a field is emerging that leverages the capacity to collect and analyze data at a scale that may reveal patterns of individual and group behaviors at a large scale, such as behavior patterns.
Journal ArticleDOI
Factors Considered Important at the End of Life by Patients, Family, Physicians, and Other Care Providers
Karen E. Steinhauser,Nicholas A. Christakis,Elizabeth C. Clipp,Maya McNeilly,Lauren M. McIntyre,James A. Tulsky +5 more
TL;DR: Although pain and symptom management, communication with one's physician, preparation for death, and the opportunity to achieve a sense of completion are important to most, other factors important to quality at the end of life differ by role and by individual.
Journal ArticleDOI
The collective dynamics of smoking in a large social network.
TL;DR: Despite the decrease in smoking in the overall population, the size of the clusters of smokers remained the same across time, suggesting that whole groups of people were quitting in concert.
Journal ArticleDOI
Response rates to mail surveys published in medical journals.
TL;DR: Although several mail survey techniques are associated with higher response rates, response rates to published mail surveys tend to be moderate, and investigators, journal editors, and readers should devote more attention to assessments of bias, and less to specific response rate thresholds.