It is difficult to extract meaningful patterns from massive trajectory data. One of the main challenges is to characterize, compare, and generalize trajectories to find overall patterns and trends. This research proposes a graph-based approach that converts trajectory data to a graph based representation, treats it as a complex network, and detects hidden community structures that can help characterize trajectories. [ Manuscript ]
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