The Spread of Obesity in a Large Social Network over 32 Years
By J. Stockman. 2009
1,629 citations recorded by the source corpus.
Subfields: Statistical and Nonlinear Physics
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Statistical and Nonlinear Physics
- Jure Leskovec
- Tao Zhou
- Linyuan Lu
- Matjaz Perc
- Duanbing Chen
- Filippo Menczer
- Yi-Cheng Zhang
- Yizhou Sun
Citations in the corpus
- The State of Applied Econometrics - Causality and Policy Evaluation (2016, neutral): “See Goldsmith-Pinkham and Imbens [2013], Christakis et al. [2010], Mele [2013], Jackson [2010], Jackson and Wolinsky [1996] for such network models in economics, and Holland and Leinhardt [1981] for statistical models.”
- Cooperative behavior cascades in human social networks (2009, background): “A growing number of observational studies suggest that diverse phenomena, including obesity (14), happiness (15), ideas (16), and many other behaviors and affective states (17–20), can spread from person to person to person.”
- Healthcare in the Pocket: Mapping the Space of Mobile-Phone Health Interventions (2011, positive): “In addition, epidemiological studies by Christakis and Fowler [69] [70] have indicated that the structure of individuals' social networks influences not only their health risks (e.g., probability of becoming obese), but also their ability to adopt health-promoting behaviors, such as quitting smoking”
- Virality Prediction and Community Structure in Social Networks (2013, background): “Diseases, ideas, innovations, and behaviors spread through social networks [1–12].”
- Measuring Large-Scale Social Networks with High Resolution (2014, methodology): “Studies of Christakis and Fowler on obesity and smoking spread in networks [62, 63] prompted a lively debate on how homophily and influence are confounded, with Lyons criticizing used statistical methods [64].”
- Economics of education (2016, background): “That is, when an individual develops a contact with a peer that does not smoke or drink, he or she is much less likely to smoke or drink (Christakis and Fowler, 2007).”
- Co-Writing with Opinionated Language Models Affects Users’ Views (2023, background): “On a societal level, researchers have shown that social infuence drives speculative markets [93], afects voting patterns [69], and contributes to the spread of unhealthy behaviors such as smoking and obesity [30, 31].”
- Handbook of Big Data (2016, background): “…Hit • ctrl-O for observed correlations • ctrl-P for p -values of the correlations (Section 6.3.3) • ctrl-M for fraction of missing/incomplete pairs (Section 6.3.4) • ctrl-N for fraction of complete pairs (Section 6.3.4) As discussed in Section 6.3.3, p -values can be thresholded to obtain…”
- Analysis of Physical Activity Propagation in a Health Social Network (2014, background): “Indeed, homophily principle is important to deliver healthy behavior on health social networks [2].”
- Social Disconnectedness, Perceived Isolation, and Health among Older Adults (2009, neutral): “…1987), although stressful relationships have been linked to worse health outcomes (Umberson et al. 2006; Wickrama et al. 2001), and health-risk behaviors such as smoking, risky sexual behavior, and poor diet can be diffused through social networks (Christakis and Fowler 2007; Latkin et al. 2003).”
- The Taste for Privacy: An Analysis of College Student Privacy Settings in an Online Social Network (2008, background): “Christakis and Fowler (2007), for instance, examined the spread of obesity through friendships in a large social network.”
- Statistical physics of vaccination (2016, background): “Similarly, as noted in the previous section, a rapidly growing body of research uses the contagion metaphor to describe the transmission of ideas and behaviors through social networks [395, 396].”
- The influence of social networking sites on health behavior change: a systematic review and meta-analysis (2015, background): “Interestingly, studies of offline social networks have demonstrated the actual role of social influence in spreading certain risk behaviors, such alcohol consumption,(23) smoking,(24) and obesity.(25) Researchers are now focusing on how to leverage social influence to promote healthy behaviors.”