Abstract: In the evaluation of the performance of horizontal well fracturing for complex reservoirs, conventional microseismic monitoring faces two major challenges. First, reliance only on microseismic data renders it difficult to construct a continuous fracture network that precisely matches geological conditions. Second, insufficient analysis of both primary mechanisms governing the spatiotemporal distribution of microseismic events and the causes of in situ stress deflection leads to a lack of theoretical support in the evaluation. This study investigated the Y108 horizontal well in the North Jiangsu Basin. Based on the fracturing-induced microseismic responses of the well, this study proposes a multidisciplinary parameter-coupling method for collaborative microseismic-fracture network modeling. By deeply integrating microseismic data with rock properties, reservoir anisotropy, and lithofacies variations, the proposed method overcomes the limitations of conventional methods driven solely by microseismic data. By constructing a continuous fracture network using the shortest path connection criterion, this study systematically reveals the intrinsic relationship of the spatiotemporal distribution of microseismic events with rock properties and stress parameters. The results indicate that the localization results of microseismic events highly correlate with the distribution of natural fractures predicted based on the ant-tracking volume. The constructed fracture network aligns with the principal stress direction, conforming to geological understandings. The strong anisotropy, extensive microfractures, and significant lithofacies variations in the second submember of the fourth member of the Funing Formation are identified as the core factors driving in situ stress deflection, deepening the understanding of fracturing-induced response mechanisms in complex reservoirs. The results of this study provide reliable technical support for accurately assessing the fracturing performance of horizontal well Y108 and offer an innovative approach for optimizing the fracturing design of similar reservoirs, holding great theoretical and engineering value.