CONCLUSION
We address the formulation of online social capital, and establish the link between online social capital defined from social connectivity and users’ mood. We show the intuition through quantitative methods, and support the thesis through application of rigorous Bayesian analysis. Social media,indeed,can be a barometer of mood. And ,if used wisely,can play an important part in monitoring well-being. We conclude by noting what Lomas observed profoundly in 1998: “Despite a history in public health dating back to John Snow that underlined the importance of social systems for health, an imbalance has developed in the attention given to generating “social capital” compared to such things as modification of individual’s risk factors. In an illustrative analysis comparing the potential of six progressively less individualised and more community-focused interventions to prevent deaths from heart disease, social support and measures to increase social cohesion fared well against more individual medical care approaches. In the face of such evidence public health professionals and epidemiologists have an ethical and strategic decision concerning the relative effort they give to increasing social cohesion in communities vs expanding access for individuals to traditional public health programs.” [29]. Wehopewehaveestablishedaframeworktodojustthis.