The Fiedler vector is the eigenvector corresponding to the second smallest eigenvalue of the Laplacian matrix of a graph, which is crucial for understanding the graph's connectivity and structure. It is widely used in spectral graph theory, particularly for graph partitioning and clustering, as it helps identify optimal cuts that minimize edge cuts while maintaining balanced partitions.