Graph-structured Data
Graph-structured data refers to data that is represented in the form of a graph, where nodes represent entities and edges represent relationships between those entities. This type of data is commonly used in social networks, recommendation systems, and knowledge graphs. Graph-structured data can be analyzed using graph theory and algorithms, which can reveal patterns and insights that are not easily visible in other types of data. This type of analysis can be used for tasks such as community detection, link prediction, and anomaly detection. Graph databases are commonly used to store and query graph-structured data, as they are optimized for efficient traversal and querying of graph structures.
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