Table of Contents
What is a graph
We use graph terminology in consistency with Neo4j. To check Neo4j graph modeling concepts or terminology see the description of Neo4j graph database concepts.
When we are talking about a graph we mean a property graph, a graph that contains a set of nodes and directed typed relationships between these nodes. Each node or relationship may have zero or more properties. This graph is stored in a database.
A node is a data record within a graph. Contains an arbitrary collection of properties. Nodes may have zero, one, or more labels and are optionally connected by relationships.
Marks a node as a member of a named subset. A node may be assigned zero or more labels.
A relationship is a data record in a property graph. Relationships organize the nodes by connecting them. A relationship connects two nodes - a start node and an end node (sometimes referred to as "source" and "target" nodes). Just like nodes, relationships can have properties. Relationships are similar to an arc or an edge in a classical graph from Graph Theory.
Marks a relationship as a member of a named subset. A relationship must be assigned one and only one type.
A property is a named value (a pair, consisting of a name and a value attached to that name) stored in a node or a relationship. Synonym for an attribute.
Synonym for relationship.
Collection of alternating nodes and relationships that corresponds to a walk in the graph.
A graph whose relationships (edges, arcs) have a designated start node and an end node.
An undirected graph is a graph in which any two nodes connected by a relationship are equal, no start or end node is designated.
A database that uses graph-based structures (for example, nodes, relationships, properties) to represent and store data. A graph database is a set of nodes, relationships between those nodes, and the attached labels, types, and properties.
What is a visualization
Graphlytic is used to analyze and visualize connected data (graph data). Graphlytic's visualization is intended to be used as a canvas where users can place nodes from any supported graph database and interactively explore their relationships, create additional calculations or modify data in the graph database. Data can be also manipulated automatically with data jobs running in the background (loading data from other sources, checking for patterns, sending notifications, etc.).