Here is a glossary of Graph Theory from Wikipedia. You can download flashcards to use with Anki. I also recommend the GraphBook for further studying. The source code is on github.
acyclicOf graph, such one that it does not contain any directed cycle. A finite, acyclic digraph with no isolated vertices necessarily contain at least one source and at least one sink. See also directed acyclic graph (DAG for short) for more.
acyclic graphA graph that contains no cycles.
adjacentTwo edges are adjacent if they have a node in common; two nodes are adjacent if they have an edge in common.
anti-edgeAn edge that "is not there". More formally, for two vertices and , is an anti-edge in a graph if is not an edge in . This means that there is either no edge between the two vertices or there is only an edge from to if is directed.
anti-triangleA set of three vertices none of which are connected.
arborescence(also out-tree or branching) An oriented tree in which all vertices are reachable from a single vertex. Likewise, an in-tree is an oriented tree in which a single vertex is reachable from every other one.
adjacency matrixIn computers, a finite, directed or undirected graph (with n vertices, say) is often represented by its adjacency matrix: an n-by-n matrix whose entry in row i and column j gives the number of edges from the i-th to the j-th vertex.
adjacentTwo vertices u and v are considered adjacent if an edge exists between them. We denote this by u ↓ v. In the above graph, vertices 1 and 2 are adjacent, but vertices 2 and 4 are not. The set of neighbors, called a (open) neighborhood NG(v) for a vertex v in a graph G, consists of all vertices adjacent to v but not including v. When v is also included, it is called a closed neighborhood, denoted by NG[v]. When stated without any qualification, a neighborhood is assumed to be open. The subscript G is usually dropped when there is no danger of confusion. In the example graph, vertex 1 has two neighbors: vertices 2 and 5. For a simple graph, the number of neighbors that a vertex has coincides with its degree.
arc(also directed edge) An ordered pair of endvertices.
articulation pointA cut vertex.
balanced k-partite graphA k-partite graph such that each partite set differs in size by at most 1 with any other.
bicliqueA complete bipartite graph.
biconnected componentA maximal set of edges in which any two members lie on a common simple cycle.
bipartite graphA graph that can be decomposed into two partite sets but not fewer.
biregular graphA graph that has unequal maximum and minimum degrees and every vertex has one of those two degrees.
blockEither a maximally 2-connected subgraph or a bridge with its endvertices.
bondA minimal (but not necessarily minimum), nonempty set of edges whose removal disconnects a graph.
bridgeAn edge whose removal disconnects a graph. (For example, a tree is made entirely of bridges.)
centerA vertex with minimum eccentricity.
circuitA circuit of n vertices, denoted by Cn, is usually assumed to be a simple cycle, or a simple circuit, meaning that every vertex is incident to exactly two edges. In the above graph (1, 5, 2, 1) is a simple cycle.
circumferenceThe length of a longest (simple) cycle, or infinity if the graph is acyclic.
clawAn induced star with 3 edges.
cliqueIn a graph, a set of pairwise adjacent vertices. Since any subgraph induced by a clique is a complete subgraph, the two terms and their notations are usually used interchangeably.
k-cliqueA clique of order k. In the example graph above, vertices 1, 2 and 5 form a 3-clique, or a triangle.
clique numberω(G) of a graph G, the order of a largest clique in G.
color, colored, identifiedNodes or edges which are considered as individuals. Although they may actually be rendered in diagrams in different colors, working mathematicians generally pencil in numbers or letters.
k-colorable graph'A graph that can be decomposed into k partite sets.
complementof a graph G is a graph with the same vertex set as G but with an edge set such that xy is an edge in if and only if xy is not an edge in G.
completeA graph in which every node is linked to every other node. For a complete digraph, this means one link in either direction.
complete graphKn of order n, a simple graph with n vertices in which every vertex is adjacent to every other. The example graph is not complete. The complete graph on n vertices is often denoted by Kn. It has n(n-1)/2 edges (corresponding to all possible choices of pairs of vertices).
complete multipartite graphA graph in which vertices are adjacent if and only if they belong to different partite sets.
componentA maximally connected subgraph.
connectedIf some route exists from every node to every other, the graph is connected. Note that some graphs are not connected. A diagram of an unconnected graph may look like two or more unrelated diagrams, but all the nodes and edges shown are considered as one graph.
connectivityextends the concept of adjacency and is essentially a form (and measure) of concatenated adjacency.
connected graphIf it is possible to establish a path from any vertex to any other vertex of a graph, the graph is said to be connected.
k-connectedIf it is always possible to establish a path from any vertex to every other one even after removing any k - 1 vertices, then the graph is said to be k-connected. Note that a graph is k-connected if and only if it contains k internally disjoint paths between any two vertices. The example graph above is connected (and therefore 1-connected), but not 2-connected.
connectivityκ(G) of a graph G is the minimum number of vertices needed to disconnect G. By convention, Kn has connectivity n - 1; and a disconnected graph has connectivity 0.
crossingA pair of intersecting edges.
crossing numberThe minimum number of crossings that must appear when a graph is drawn on a plane is called the crossing number.
cutA partition of the vertices of a graph into two disjoint subsets.
cut edgeA bridge.
cut setA set of vertices whose removal disconnects the graph.
cut vertexA vertex whose removal disconnects a graph. Also known as Cut Point or Articulation Point. See also cut set and bridge.
cycleIn a graph was a closed walk.
DAGA directed acyclic graph.
degreeThe number of edges which connect a node.
degreedG(v) of a vertex v in a graph G is the number of edges incident to v, with loops being counted twice. A vertex of degree 0 is an isolated vertex. A vertex of degree 1 is a leaf. In the example graph vertices 1 and 3 have a degree of 2, vertices 2,4 and 5 have a degree of 3 and vertex 6 has a degree of 1. If E is finite, then the total sum of vertex degrees is equal to twice the number of edges.
degree sequenceA list of degrees of a graph in non-increasing order (e.g. d1 ≥ d2 ≥ … ≥ dn). A sequence of non-increasing integers is realizable if it is a degree sequence of some graph.
diagramA visible rendering of the abstract concept of a graph.
diameterThe maximum eccentricity over all vertices in a graph. It is denoted diam(G) of a graph G.
digraphA directed graph.
directed cycle(also cycle) An oriented simple cycle such that all arcs go the same direction, meaning all vertices have in- and out-degrees 1.
directedA graph in which each edge symbolizes an ordered, non-transitive relationship between two nodes. Such edges are rendered with an arrowhead at one end of a line or arc.
directed graphA graph whose edges are directed, possibly represented as ordered pairs of vertices; synonyms: digraph. Alternative models of graph exist; e.g., a graph may be thought as a Boolean binary function over the set of vertices or as a square (0,1)-matrix.
disconnected graphA graph that is not connected.
disconnecting setA set of edges whose removal increases the number of components.
distancedG(u, v) between two (not necessary distinct) vertices u and v in a graph G is the length of a shortest path between them. The subscript G is usually dropped when there is no danger of confusion. When u and v are identical, their distance is 0. When u and v are unreachable from each other, their distance is defined to be infinity ∞.
dominateA vertex v dominates another vertex u if there is an arc from v to u. A vertex subset S is out-dominating if every vertex not in S is dominated by some vertex in S; and in-dominating if every vertex in S is dominated by some vertex not in S.
dominating setOf a graph, a vertex subset whose closed neighborhood include all vertices of the graph. A vertex v dominates another vertex u if there is an edge from v to u. A vertex subset V dominates another vertex subset U if every vertex in U is adjacent to some vertex in V. The minimum size of a dominating set is the domination number γ(G).
dualA dual, or planar dual when the context needs to be clarified, G of a plane graph G is a graph whose vertices represent the faces, including any outerface, of G and are adjacent in G if and only if their corresponding faces are adjacent in G. The dual of a planar graph is always a planar pseudograph (e.g. consider the dual of a triangle). In the familiar case of a 3-connected simple planar graph G (isomorphic to a convex polyhedron P), the dual G is also a 3-connected simple planar graph (and isomorphic to the dual polyhedron P).
eccentricityεG(v) of a vertex v in a graph G is the maximum distance from v to any other vertex.
edgeA set of two elements, drawn as a line connecting two vertices, called endvertices, or endpoints. An edge with endvertices x and y is denoted by xy without any symbol in between, so, do not write x⋅y. The edge set of G is usually denoted by E(G), or E when there is no danger of confusion.
edge, link, arcRelationships represented in a graph. These are always rendered as straight or curved lines. The term "arc" may be misleading.
edge cutThe set of all edges having one endvertex in some proper vertex subset S and another endvertex in V(G)\S. Edges of K3 form a disconnecting set but not an edge cut. Any two edges of K3 form a minimal disconnecting set as well as an edge cut. An edge cut is necessarily a disconnecting set; and a minimal disconnecting set of an nonempty graph is necessarily an edge cut.
edgeless graph(empty graph) A graph possibly with some vertices, but no edges. Or, it is a graph with no vertices and no edges.
k-edge-connectedOf a graph, such that if any subgraph formed by removing any k - 1 edges is still connected. The edge connectivity κ′(G) of a graph G is the minimum number of edges needed to disconnect G. One well-known result is that κ(G) ≤ κ′(G) ≤ δ(G).
embeddableA graph is embeddable on a surface if its vertices and edges can be arranged on it without any crossing. The genus of a graph is the lowest genus of any surface on which the graph can embed.
embeddingof is an injection from to such that every edge in corresponds to a path(disjoint from all other such paths) in .
equipartite graphA k-partite graph such that each partite set has the same size.
Eulerian circuitEulerian cycle.
Eulerian cycleA closed walk which uses each edge precisely once.
Eulerian digraphA digraph with equal in- and out-degrees at every vertex.
Eulerian pathA path which passes through every edge (once and only once). If the starting and ending nodes are the same, it is an Euler cycle or an Euler circuit. If the starting and ending nodes are different, it is an Euler trail.
Eulerian pathA graph is a walk that uses each edge precisely once; that is, a trail that uses all the edges. If such a trail exists, the graph is called traversable.
Eulerian trailEulerian path.
Eulerian tourEulerian cycle.
even cycleA cycle that has an even length.
faceWhen a graph is drawn without any crossing, any cycle that surrounds a region without any edge reaching from the cycle inside to such region forms a face. Two faces on a plane graph are adjacent if they share a common edge.
factorA spanning subgraph.
k-factorA k-regular spanning subgraph. An 1-factor is a perfect matching. A partition of edges of a graph into k-factors is called a k-factorization. A k-factorable graph is a graph that admits a k-factorization.
forestA vertex-disjoint union of trees; or, equivalently, an acyclic graph.
girthOf a graph, the length of a shortest (simple) cycle in the graph, or infinity if the graph is acyclic.
graph, networkAn abstraction of relationships among objects. Graphs consist exclusively of nodes and edges. All characteristics of a system are either eliminated or subsumed into these elements.
graphA mathematical structure costiting of two types of elements, namely vertices and edges. Every edge has two endpoints in the set of vertices, ans is said to connect or join the two endpoints. The set of edges can thus be defined as a subset of the family of all two-element sets of vertices. Often, however, the set of vertices is considered as a set, and there is an incidence relation which maps each edge to the pair of vertices that are its endpoints.
graph invariantA property of a graph G, usually a number or a polynomial, that depends only on the isomorphism class of G; examples are genus and graph order.
graph labelingThe assignment of unique labels (usually natural numbers) to the edges and vertices of a graph. Graphs with labeled edges or vertices are known as labeled, those without as unlabeled. More specifically, graphs with labeled vertices only are vertex-labeled, those with labeled edges only are edge-labeled. (This usage is to distinguish between graphs with identifiable vertex or edge sets on the one hand, and isomorphism types or classes of graphs on the other.)
Hamiltonian cycleA spanning cycle.
Hamiltonian graphA graph that contains a Hamiltonian cycle.
Hamiltonian pathA (simple) path that contains every vertex.
Hamiltonian pathA path which passes through every node once and only once. If the starting and ending nodes are adjacent, it is a Hamiltonian cycle.
Hamiltonian pathA spanning path.
Hamiltonian connected graphA graph that, given any pair of (distinct) vertices, contains a Hamiltonian path using them as endvertices.
H-free grafA graph that does not contain H as an induced subgraph is said to be H-free.
headThe first vertex in the arc AKA directed edge.
homomorphicLikewise, a graph G is said to be homomorphic to a graph H if there is a mapping, called a homomorphism, from V(G) to V(H) such that if two vertices are adjacent in G then their corresponding vertices are adjacent in H.
hyperedgeAn edge that is allowed to take on any number of vertices, possibly more than 2. A graph that allows any hyperedge is called a hypergraph. A simple graph can be considered a special case of the hypergraph, namely the 2-uniform hypergraph. However, when stated without any qualification, an edge is always assumed to consist of at most 2 vertices, and a graph is never confused with a hypergraph.
in degree in-neighborhoodThe number of edges entering a vertex. Is denoted as dΓ-(v). The degree dΓ(v) of a vertex v is equal to the sum of its out- and in- degrees. When the context is clear, the subscript Γ can be dropped. Maximum and minimum out degrees are denoted by Δ+(Γ) and δ+(Γ); and maximum and minimum in degrees, Δ-(Γ) and δ-(Γ).(predecessor set) N-Γ(v) of a vertex v is the set of heads of arc going into v.
incidentAn edgee connects two vertices; these two vertices are said to be incident to that edge, or, equivalently, that edge incident to those two vertices. All degree-related concepts have to do with adjacency or incidence.
independence numberα(G) of a graph G is the size of a largest independent set of G.
independentIn graph theory, the word independent usually carries the connotation of pairwise disjoint or mutually nonadjacent. In this sense, independence is a form of immediate nonadjacency.
independent setA set of isolated vertices. Since the graph induced by any independent set is an empty graph, the two terms are usually used interchangeably. In the example above, vertices 1, 3, and 6 form an independent set; and 3, 5, and 6 form another one.
induced subgraphA subgraph H of a graph G is said to be induced if, for any pair of vertices x and y of H, xy is an edge of H if and only if xy is an edge of G. In other words, H is an induced subgraph of G if it has the most edges that appear in G over the same vertex set. If H is chosen based on a vertex subset S of V(G), then H can be written as G[S] and is said to be induced by S.
infiniteA graph is infinite if it has infinitely many vertices or edges or both; otherwise the graph is finite. An infinite graph where every vertex has finite degree is called locally finite. When stated without any qualification, a graph is usually assumed to be finite.
initial vertexA head.
internally disjointTwo paths are internally disjoint (some people call it independent) if they do not have any vertex in common, except the first and last ones.
isolated vertexA vertex not incident to any edges.
isomorphicTwo graphs G and H are said to be isomorphic, denoted by G ~ H, if there is a one-to-one correspondence, called an isomorphism, between the vertices of the graph such that two vertices are adjacent in G if and only if their corresponding vertices are adjacent in H.
k-ary treeA k-ary tree is a rooted tree in which every internal vertex has k children. An 1-ary tree is just a path. A 2-ary tree is also called a binary tree.
kernelAn independent out-dominating set. A digraph is kernel perfect if every induced sub-digraph has a kernel.
knotIn a directed graph, a collection of vertices and edges with the property that every vertex in the knot has outgoing edges, and all outgoing edges from vertices in the knot have other vertices in the knot as destinations. Thus it is impossible to leave the knot while following the directions of the edges.
length of a cycleThe number of its edges. Cn has length n. A cycle, unlike a path, is not allowed to have length 0.
length of a path or walkThe number of edges that the path uses. Pn has length n - 1. Some people count multiple edges multiple times. In the example graph, (1, 2, 5, 1, 2, 3) is a path with length 5, and (5, 2, 1) is a simple path of length 2.
linkhas two distinct endvertices.
digonA cycle of length 2. In the example graph, (1, 2, 3, 4, 5, 1) is a cycle of length 5.
loopAn edge whose endvertices are the same vertex.
loop, cycleA path which ends at the node where it began.
matching numberα′(G) of a graph G is a the size of a largest matching, or pairwise vertex disjoint edges, of G.
maximum degreeΔ(G) of a graph G, the largest degree over all vertices; the minimum degree δ(G), the smallest.
minorof is an injection from to such that every edge in corresponds to a path(disjoint from all other such paths) in such that every vertex in is in one or more paths, or is part of the injection from to . This can alternatively be phrased in terms of contractions, which are operations which collapse a path and all vertices on it into a single edge (see edge contraction).
multipleA set of arcs are multiple, or parallel, if they share the same head and the same tail. A pair of arcs are anti-parallel if one's head/tail is the other's tail/head.
multiple edgeAn edge such that there is another edge with the same endvertices; antonyms: simple edge. The multiplicity of an edge is the number of multiple edges sharing the same endvertices; the multiplicity of a graph, the maximum multiplicity of its edges.
multigraphA graph that has multiple edges, but no loops.
multipartite graphA graph that can be decomposed into an unspecific number of partite sets but not fewer.
networkA weighted graph, possibly directed or undirected, possibly containing special vertices (nodes), such as source or sink.
null graphThe graph with no vertices and no edges. Or, it is a graph with no edges and any number of vertices, in which case it may be called the null graph on vertices. (There is no consistency at all in the literature.)
odd cycleA cycle that has odd length.
orderThe order of a graph is the number of its vertices, i.e. |V(G)|.
orientationAn assignment of directions to the edges of an undirected or partially directed graph. When stated without any qualification, it is usually assumed that all undirected edges are replaced by a directed one in an orientation. Also, the underlying graph is usually assumed to be undirected and simple.
oriented graphA graph that contains only arcs. When stated without any qualification, a graph is almost always assumed to be undirected. Also, a digraph is usually assumed to contain no undirected edges.
out degreeThe number of edges leaving a vertex. Is denoted dΓ+(v), given a digraph Γ. See also in degree.
out-neighborhood(successor set) N+Γ(v) of a vertex v is the set of tails of arcs going from v.
outer faceFurthermore, since we can establish a sense of "inside" and "outside" on a plane, we can identify an "outermost" region that contains the entire graph if the graph does not cover the entire plane. Such outermost region is called an outer face.
outerplanar graphA graph that can be drawn in the planar fashion such that its vertices are all adjacent to the outer face. See also outerplane graph.
outerplane graphA graph that is drawn in the planar fashion such that its vertices are all adjacent to the outer face. See also outerplanar graph.
pancyclic graphA graph that contains cycles of every possible length (from 3 to the order of the graph).
k-partite graphA graph that can be decomposed into k partite sets but not fewer.
partite setA graph can be decomposed into independent sets in the sense that the entire vertex set of the graph can be partitioned into pairwise disjoint independent subsets. Such independent subsets are called partite sets, or simply parts.
pathA directed path, or just a path when the context is clear, is an oriented simple path such that all arcs go the same direction, meaning all internal vertices have in- and out-degrees 1.
pathA route that does not pass any edge more than once. If the path does not pass any node more than once, it is a simple path.
pathIn a graph was what is now usually known as an open walk. Nowadays, when stated without any qualification, a path of n vertices, denoted by Pn (but some write Pn-1), is usually defined to be a simple path or a simple trail in the old sense, meaning that every vertex is incident to at most two edges.
perfect matchingA spanning matching.
peripheral vertexA vertex with maximum eccentricity.
planar graphA graph that can be drawn on the (Euclidean) plane without any crossing; a graph of genus 0.
plane graphA graph that is drawn on the (Euclidean) plane without any crossing.
point, node, vertexObjects ("things") represented in a graph. These are almost always rendered as round dots.
k-th powerGk of a graph G is a supergraph formed by adding an edge between all pairs of vertices of G with distance at most k. A second power of a graph is also called a square.
pseudographA graph that contains both multiple edges and loops (the literature is highly inconsistent).
radiusThe minimum eccentricity over all vertices in a graph. It is denoted rad(G) of a graph G. When there are two components in G, diam(G) and rad(G) defined to be infinity ∞.
reachableOf a vertex v from a given vertex u in a directed graph, such that there is a directed path that starts from u and ends at v.
regularA graph in which each node has the same degree.
regular graphA graph in which every vertex has the same degree.
k-regular graphA graph in which every vertex has degree k. A 0-regular graph is an independent set. A 1-regular graph is a matching. A 2-regular graph is a vertex disjoint union of cycles. A 3-regular graph is said to be cubic, or trivalent.
routeA sequence of edges and nodes from one node to another. Any given edge or node might be used more than once.
separating setA cut set.
simpleA digraph is called simple if it has no loops and at most one arc between any pair of vertices. When stated without any qualification, a digraph is usually assumed to be simple.
simple graphA graph that has no multiple edges or loops. When stated without any qualification, a graph is almost always assumed to be simple. See also multigraph.
sinkA vertex of a network with out-degree of zero; see also source.
size of a graphThe number of its edges, i.e. |E(G)|.
sourceA vertex of a network with in-degree of zero; see also sink.
k-spannerA spanning subgraph in which every two vertices are at most k times as far apart on S than on G. The number k is the dilation. k-spanner is used for studying geometric network optimization.
spanning subgraphA subgraph H of a graph G such that it has the same vertex set as G. We say H spans G.
spanning treeA spanning subgraph that is a tree. Every graph has a spanning forest. But only a connected graph has a spanning tree.
starA special kind of tree called star is K1,k; see also claw.
strongly connectedA digraph is strongly connected if every vertex is reachable from every other following the directions of the arcs. On the contrary, a diagraph is weakly connected if its underlying undirected graph is connected. A weakly connected graph can be thought of as a digraph in which every vertex is "reachable" from every other but not necessarily following the directions of the arcs. A strong orientation is an orientation that produces a strongly connected digraph.
strongly connected componentInformally, a subgraph where all nodes in the subgraph are reachable by all other nodes in the subgraph.
subtreeof the graph G is a subgraph that is a tree.
subgraphOf a graph G is a graph whose vertex and edge sets are subsets of those of G. In the other direction, a supergraph of a graph G is a graph that contains G as a subgraph. We say a graph G contains another graph H if some subgraph of G is H or is isomorphic to H (depending on the needs of the situation).
semiregularA k-partite graph is semiregular if each of its partite set has a uniform degree
spanning matchingA matching that covers all vertices of a graph.
stable setAn independent set.
stasetA stable set.
strongly regular graphA regular graph such that any adjacent vertices have the same number of common neighbors as other adjacent pairs and that any nonadjacent vertices have the same number of common neighbors as other nonadjacent pairs.
tailThe second vertex in the acr AKA directed edge.
theta graphThe union of three internally disjoint (simple) paths that have the same two distinct endvertices. A theta0 graph has seven vertices which can be arranged as the vertices of a regular hexagon plus an additional vertex in the center. The eight edges are the perimeter of the hexagon plus one diameter.
thicknessThe minimum number of planar graphs needed to cover a graph is the thickness of the graph.
totally disconnected graphA graph is totally disconnected if there is no path connecting any pair of vertices. This is just another name to describe an empty graph or independent set.
tournamentA digraph in which each pair of vertices is connected by exactly one arc. In other words, it is an oriented complete graph.
traceable graphA graph that contains a Hamiltonian path.
traceable pathA spanning path.
trailA walk in which all the edges are distinct. (A closed trail has been called a tour or circuit, but these are uncommon and the latter is usually reserved for a regular subgraph of degree two.)
treeA connected graph with no loops.
treeA connected acyclic simple graph. A vertex of degree 1 is called a leaf, or pendant vertex. An edge incident to a leaf is an leaf edge, or pendant edge. (Some people define a leaf edge as a leaf and then define a leaf vertex on top of it. These two sets of definitions are often used interchangeably.) A non-leaf vertex is an internal vertex. Sometimes, one vertex of the tree is distinguished, and called the root. A rooted tree is a tree with a root. Rooted trees are often treated as directed acyclic graphs with the edges pointing away from the root. Trees are commonly used as data structures in computer science (see tree data structure).
triangleC3 is called a triangle.
tripartite graphA graph that can be decomposed into three partite sets but not fewer.
undirected edgeAn edge that disregards any sense of direction and treats both endvertices interchangeably.
undirectedA graph in which each edge symbolizes an unordered, transitive relationship between two nodes. Such edges are rendered as plain lines or arcs.
unicyclic graphA graph that contains exactly one cycle.
unidentifiedNodes or edges which are not considered as individuals. Only the way in which they connect to the rest of the graph characterize unidentified nodes and edges.
universal graphIn a class K of graphs, a simple graph in which every element in K can be embedded as a subgraph.
unweightedA graph in which all the relationships symbolized by edges are considered equivalent. Such edges are rendered as plain lines or arcs.
vertexA basic element of a graph, drawn as a node or a dot. The vertex set of G is usually denoted by V(G), or V when there is no danger of confusion.
vertex cutA cut set.
walkAn alternating sequence of vertices and edges, beginning and ending with a vertex, in which each vertex is incident to the two edges that precede and follow it in the sequence, and the vertices that precede and follow an edge are the endvertices of that edge. A walk is closed if its first and last vertices are the same, and open if they are different.
weightedWeighted edges symbolize relationships between nodes which are considered to have some value, for instance, distance or lag time. Such edges are usually annotated by a number or letter placed beside the edge. Weighted nodes also have some value; this must be distinguished from identification.
weighted graphA graph that associates a label (weight) with every edge in the graph. Weights are usually real numbers. They may be restricted to rational numbers or integers. Certain algorithms require further restrictions on weights; for instance, the Dijkstra algorithm works properly only for positive weights.
weight of a subgraphThe sum of the weights of the edges of the subgraph.
Wiener index of a vertexv in a graph G, denoted by WG(v) is the sum of distances between v and all others.
Wiener index of a graphG, denoted by W(G), is the sum of distances over all pairs of vertices.
Wiener polynomial of an undirected graphΣ qd(u,v) over all unordered pairs of vertices u and v.