Research on the Construction and Dynamic Adaptation Algorithm of Multi Modal Management Knowledge Network Based on Cognitive Graph

This study tackles the issue of fragmented multi-source heterogeneous data, which leads to delays in management decision-making and strategic coordination. To address this, the study introduces an innovative integration of cognitive graphs and dynamic adaptation algorithms, constructing a multimodal management knowledge network. Traditional static knowledge representations struggle to handle dynamic environments like supply chain disruptions, where the network interaction density must exceed a threshold of 0.65 for effective cross-organizational collaboration.