  This thesis conducts a focused literature review on online communities,
centering on Stack Overflow, employing social network analysis and graph
algorithms. It examines the evolving landscape of health information quality
within the digital ecosystem, emphasizing the challenges posed and the
multifaceted nature of quality. The significance of online communities, notably
Stack Overflow, as hubs for social interaction and knowledge sharing is
underscored. Proposing advanced approaches, the thesis introduces an ensemble
deep learning model for traffic flow forecasting, an efficient multi-objective
optimization method for influence maximization, and a graph convolutional
neural network-based approach for link prediction.
