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  2. Network neuroscience - Wikipedia

    en.wikipedia.org/wiki/Network_neuroscience

    The utilization of graph theory in neuroscience studies has been actively applied after the discovery of functional brain networks. In graph theory, an N × N adjacency matrix (also called a connection matrix) with the elements of zero or non-zero indicates the absence or presence of a relationship between the vertices of a network with N nodes.

  3. 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 ...

  4. Large-scale brain network - Wikipedia

    en.wikipedia.org/wiki/Large-scale_brain_network

    As a physical system with graph-like properties, [6] a large-scale brain network has both nodes and edges and cannot be identified simply by the co-activation of brain areas. In recent decades, the analysis of brain networks was made feasible by advances in imaging techniques as well as new tools from graph theory and dynamical systems.

  5. Triadic closure - Wikipedia

    en.wikipedia.org/wiki/Triadic_closure

    Triadic closure is a good model for how networks will evolve over time. While simple graph theory tends to analyze networks at one point in time, applying the triadic closure principle can predict the development of ties within a network and show the progression of connectivity. [3]

  6. k-vertex-connected graph - Wikipedia

    en.wikipedia.org/wiki/K-vertex-connected_graph

    A graph with connectivity 4. In graph theory, a connected graph G is said to be k-vertex-connected (or k-connected) if it has more than k vertices and remains connected whenever fewer than k vertices are removed. The vertex-connectivity, or just connectivity, of a graph is the largest k for which the graph is k-vertex-connected.

  7. Spatial network - Wikipedia

    en.wikipedia.org/wiki/Spatial_network

    But in this case, space intervenes in the fact that the connection probability between two individuals usually decreases with the distance between them. Voronoi tessellation A spatial network can be represented by a Voronoi diagram , which is a way of dividing space into a number of regions.

  8. Structural cohesion - Wikipedia

    en.wikipedia.org/wiki/Structural_cohesion

    In sociology, structural cohesion is the conception [1] [2] of a useful formal definition and measure of cohesion in social groups.It is defined as the minimal number of actors in a social network that need to be removed to disconnect the group.

  9. Strongly connected component - Wikipedia

    en.wikipedia.org/wiki/Strongly_connected_component

    The yellow directed acyclic graph is the condensation of the blue directed graph. It is formed by contracting each strongly connected component of the blue graph into a single yellow vertex. If each strongly connected component is contracted to a single vertex, the resulting graph is a directed acyclic graph, the condensation of G.