Social network determinants of depression

By J. N. Rosenquist, James H. Fowler, Nicholas A. Christakis. Molecular Psychiatry, 2010

252 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/1299e87ffeaac18deef4fd8f49974c5462257b4c

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In Experimental and Cognitive Psychology

Citations in the corpus

Experimental evidence of massive-scale emotional contagion through social networks (2014, background): “These results suggest that the emotions expressed by friends, via online social networks, influence our own moods, constituting, to our knowledge, the first experimental evidence for massive-scale emotional contagion via social networks (3, 7, 8), and providing support for previously contested claim”
Editorial Expression of Concern and Correction (2014, background): “These results suggest that the emotions expressed by friends, via online social networks, influence our own moods, constituting, to our knowledge, the first experimental evidence for massive-scale emotional contagion via social networks (3, 7, 8), and providing support for previously contested claim”
Social Network Sensors for Early Detection of Contagious Outbreaks (2010, background): “While the social network sensor strategy has been illustrated with a particular outbreak (flu) in a particular population (college students), it could potentially be generalized to other phenomena that spread in networks, whether biological (antibiotic-resistant germs), psychological (depression) [2”
Social contagion theory: examining dynamic social networks and human behavior (2011, methodology): “Using similar modeling approaches and exploiting data from many sources, we have examined the “spread” of obesity [14, 15], smoking [16], alcohol consumption [17], health screening [18], happiness [19], loneliness [20], depression [21], sleep [22], drug use [22], divorce [23], food consumption [24],”
The association between social relationships and depression: a systematic review. (2015, background): “5% (5/9) prospective high (Chao, 2011; Garcia-Pena et al., 2013; Kuchibhatla et al., 2012; Rosenquist et al., 2011; Sonnenberg et al., 2013)] while the remaining four studies (4/131⁄430.”
Detecting Emotional Contagion in Massive Social Networks (2014, background): “Longitudinal data from face-to-face social networks has established that emotions as diverse as happiness [9], loneliness [10], and depression [11] are correlated between sociallyconnected individuals, and related work suggests that these correlations also exist online [4,12,13,14,15].”
Suicide Ideation Detection via Social and Temporal User Representations using Hyperbolic Learning (2021, methodology): “Our observations revalidate the utility of HyperSOS for suicide ideation detection, specifically the influence of social context, and correctly capturing the network’s scale-free traits (Rosenquist et al., 2011).”
Measuring Post Traumatic Stress Disorder in Twitter (2014, unknown): “In this paper, we study PTSD in Twitter data, one of the first studies to consider social media for a mental health condition beyond depression (De Choudhury, Counts, and Horvitz 2013; De Choudhury et al. 2013; Rosenquist, Fowler, and Christakis 2010).”
Characterizing and predicting postpartum depression from shared facebook data (2014, unknown): “of depression [42], anxiety, and other psychological”
Social Networking Sites, Depression, and Anxiety: A Systematic Review (2016, background): “In contrast with the literature examining social network size and structure offline [12,136], SNS friendship network size, on the whole, was not associated with depression or anxiety.”