Weestablishthe link between online capital derived from social media and mood, demonstrating results for different cohorts of social capital and social connectivity. We use novel Bayesian nonparametric factor analysis to extract the shared and individual factors in mood transitionacrossgroupsofusersofdifferentlevelsofconnectivity, quantifying patterns and degree of mood transitions. Using more than 1.6 million users from Live Journal, we show quantitatively that groups with lower social capital have fewer positive moods and more negative moods, than groups with higher social capital. Weshowsimilareffectsinmoodtransitions.Weestablishaframework of how social media can be used as a barometer for mood. The significance lies in the importance of online social capital to mental well-being in overall. In establishing the link between mood and social capital in online communities, this work may suggest the foundation of new systems to monitor online mental well-being. IndexTerms—Affectivecomputing,onlinesocialcapital,mental health, Bayesian nonparametrics.