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  2. Bridge (graph theory) - Wikipedia

    en.wikipedia.org/wiki/Bridge_(graph_theory)

    A graph with 16 vertices and six bridges (highlighted in red) An undirected connected graph with no bridge edges. In graph theory, a bridge, isthmus, cut-edge, or cut arc is an edge of a graph whose deletion increases the graph's number of connected components. [1] Equivalently, an edge is a bridge if and only if it is not contained in any cycle.

  3. Seven Bridges of Königsberg - Wikipedia

    en.wikipedia.org/wiki/Seven_Bridges_of_Königsberg

    In modern terms, one replaces each land masses with an abstract "vertex" or node, and each bridge with an abstract connection, an "edge", which only serves to record which pair of vertices (land masses) is connected by that bridge. The resulting mathematical structure is a graph. → →

  4. Graph theory - Wikipedia

    en.wikipedia.org/wiki/Graph_theory

    A directed graph or digraph is a graph in ... The Königsberg Bridge problem ... rocs — a graph theory IDE; The Social Life of Routers — non-technical paper ...

  5. Connectivity (graph theory) - Wikipedia

    en.wikipedia.org/wiki/Connectivity_(graph_theory)

    This graph becomes disconnected when the right-most node in the gray area on the left is removed This graph becomes disconnected when the dashed edge is removed.. In mathematics and computer science, connectivity is one of the basic concepts of graph theory: it asks for the minimum number of elements (nodes or edges) that need to be removed to separate the remaining nodes into two or more ...

  6. Greedy embedding - Wikipedia

    en.wikipedia.org/wiki/Greedy_embedding

    A greedy embedding is an embedding of the given graph with the property that a failure of this type is impossible. Thus, it can be characterized as an embedding of the graph with the property that for every two nodes x and t, there exists a neighbor y of x such that d(x,t) > d(y,t), where d denotes the distance in the embedded space. [2]

  7. Betweenness centrality - Wikipedia

    en.wikipedia.org/wiki/Betweenness_centrality

    Percolation centrality is defined for a given node, at a given time, as the proportion of ‘percolated paths’ that go through that node. A ‘percolated path’ is a shortest path between a pair of nodes, where the source node is percolated (e.g., infected). The target node can be percolated or non-percolated, or in a partially percolated state.

  8. Transit node routing - Wikipedia

    en.wikipedia.org/wiki/Transit_Node_Routing

    The pre-computed distances between each node and the corresponding access node as well as the pairwise distances between transit nodes need to be stored in distance tables. In the grid-based implementation outlined above, this results in 16 bytes of storage that is required for each node of the road graph.

  9. Glossary of graph theory - Wikipedia

    en.wikipedia.org/wiki/Glossary_of_graph_theory

    A bridgeless graph is one that has no bridges; equivalently, a 2-edge-connected graph. 2. A bridge of a subgraph H is a maximal connected subgraph separated from the rest of the graph by H. That is, it is a maximal subgraph that is edge-disjoint from H and in which each two vertices and edges belong to a path that is internally disjoint from H.