The Minimum Weight Spanning Tree algorithm is a graph search technique used to find the most efficient path between nodes in a weighted graph. It starts with a single node and iteratively adds the minimum-weight edge that connects any new node to an existing one, effectively building a tree structure with the smallest total weight. This algorithm was first developed by Czech scientist Otakar Borůvka in 1926 and later improved upon by Jarnik in 1930. It is often used for network design, travel planning, and analyzing correlations between different nodes or relationships. The algorithm can tolerate negative-weight edges, making it useful for finding the minimum spanning tree of a graph. The example provided demonstrates how to apply this algorithm using Neo4j's Cypher query language, which creates a graph with places and links between them and then finds the Minimum Weight Spanning Tree starting from node D.