A graph database is a type of NoSQL database that uses a graph data model, which consists of two main elements: nodes and edges. Nodes are the entities or objects that have properties and labels ...

Learn how to use graph theory to model and analyze the properties and patterns of financial networks, such as interbank, stock market, corporate, and global networks. Agree & Join LinkedIn ...

Neo4j is both the original graph database and the continued leader in the graph database market. ... The standard for the network database model was first issued by CODASYL in 1969.

By multi-model, Franz said its semantic graph database supports ingestion of different JSON documents as well as Resource Description Framework (RDF), or triplestore, data—another World Wide Web ...

The flexibility of the graph data model is a key factor driving the recent surge in graph database popularity. The same requirements for availability and massive scale that drove the development ...

The Global Graph Database Market size is expected to reach $8.1 billion by 2028, ... Graph databases are identical to conventional network model databases and also represent general graphs, ...

Network graph theory and organization model analysis based on the mathematical modeling with the dynamic systematic data perspective is studied in the paper. As a new attempt of classification ...

Many network management tasks require a network topology graph as its input. However, the lack of standard methods of network elements detection, coupled with the incompleteness and heterogeneity of ...