A tree structure is a way of representing the hierarchical nature of a structure in a graphical form. It is named a "tree structure" because the graph looks a bit like a tree, even though the tree is generally shown upside down compared with a real tree; that is to say with the root at the top and the leaves at the bottom.
In terms of graph theory, a tree can be described as a "connected directed acyclic graph." A collection of unconnected tree structures is sometimes described by graph theorists as a "forest." See tree (graph theory) for more mathematical background behind a tree structure.
Every finite tree structure has a member that has no superior[?]. This member is called the "root" or root node. The converse is not true: infinite tree structures may have a root node.
The lines connecting elements are called branches," the elements themselves are called "nodes." Nodes without children are called "end-nodes" or "leaves."
The names of relationships between nodes are modeled after family relations. In computer sciences, traditionally only names for male family members have been used. In linguistics, the names of female family members are used. It is said that this was an express counter movement to the traditional naming convention, started by the female students of linguist Noam Chomsky. However, nowadays, in computer science at least, the gender-neutral names "parent" and "child" have largely displaced the older "father" and "son" terminology.
The starting node is often called the "root."
In the example, "encyclopedia" is the parent of "science" and "culture," its children. "Art" and "craft" are siblings, and children of "culture."
Tree structures are used to depict all kinds of taxonomic knowledge, such as family trees, the Evolutionary tree, the grammatical structure of a language (the famous example being S -> NP VP, meaning a sentence is a noun phrase and a verb phrase), the way web pages are logically ordered in a web site, et cetera.
Trees have a number of interesting properties:
Tree structures are used extensively in computer science and telecommunications.
See also: B-tree, rooted hierarchy, tree data structure, tree (graph theory)
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