Parents face various challenges in their daily life, especially during the first-time pregnancy. This paper attempts to comprehend explore the comprehend aspects in five categories (i.e., parents and family, health issues, finance and wealth, social services, society) related to disappointment caused by first time pregnancy. The relevant threads which bear negative feelings about pregnancy are collected and analyzed by conducting strength test and support investigation (i.e., like/dislike indicators). The set of networks using threads as nodes and edges which are based on the number of categories shared by threads was constructed and analyzed by social network analysis. In each network, we deployed the spectral clustering algorithm (i.e., Girvan Newman) to identify the possible clusters and investigate the quality of clusters. Multiple concerns regarding the negative feelings about first-time pregnancy discussed in vauva.fi online forum was mapped and discussed as the result of the social network analysis results. The findings pave the way for mora tailored recommendation and interventions using early warning detection through social media analytics in healthcare.