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  2. Scale-free network - Wikipedia

    en.wikipedia.org/wiki/Scale-free_network

    A scale-free network is a network whose degree distribution follows a power law, at least asymptotically. That is, the fraction P ( k) of nodes in the network having k connections to other nodes goes for large values of k as. where is a parameter whose value is typically in the range (wherein the second moment ( scale parameter) of is infinite ...

  3. Barabási–Albert model - Wikipedia

    en.wikipedia.org/wiki/Barabási–Albert_model

    The distribution of the vertex degrees of a BA graph with 200000 nodes and 2 new edges per step. Plotted in log-log scale. It follows a power law with exponent -2.78. The degree distribution resulting from the BA model is scale free, in particular, it is a power law of the form ()

  4. Deterministic scale-free network - Wikipedia

    en.wikipedia.org/wiki/Deterministic_scale-free...

    A scale-free network is a type of networks that is of particular interest of network science.It is characterized by its degree distribution following a power law. While the most widely known generative models for scale-free networks are stochastic, such as the Barabási–Albert model or the Fitness model can reproduce many properties of real-life networks by assuming preferential attachment ...

  5. Watts–Strogatz model - Wikipedia

    en.wikipedia.org/wiki/Watts–Strogatz_model

    Formally, the degree distribution of ER graphs converges to a Poisson distribution, rather than a power law observed in many real-world, scale-free networks. [3] The Watts and Strogatz model was designed as the simplest possible model that addresses the first of the two limitations.

  6. Hierarchical network model - Wikipedia

    en.wikipedia.org/wiki/Hierarchical_network_model

    The hierarchical network model is part of the scale-free model family sharing their main property of having proportionally more hubs among the nodes than by random generation; however, it significantly differs from the other similar models (Barabási–Albert, Watts–Strogatz) in the distribution of the nodes' clustering coefficients: as other models would predict a constant clustering ...

  7. Erdős–Rényi model - Wikipedia

    en.wikipedia.org/wiki/Erdős–Rényi_model

    In the mathematical field of graph theory, the Erdős–Rényi model refers to one of two closely related models for generating random graphs or the evolution of a random network. These models are named after Hungarian mathematicians Paul Erdős and Alfréd Rényi, who introduced one of the models in 1959. [ 1][ 2] Edgar Gilbert introduced the ...

  8. Small-world network - Wikipedia

    en.wikipedia.org/wiki/Small-world_network

    Scale-free networkNetwork whose degree distribution follows a power law; Six degrees of Kevin Bacon – Parlor game on degrees of separation; Small-world experiment – Experiments examining the average path length for social networks; Social network – Social structure made up of a set of social actors

  9. Fractal dimension on networks - Wikipedia

    en.wikipedia.org/wiki/Fractal_dimension_on_networks

    Many real networks have two fundamental properties, scale-free property and small-world property. If the degree distribution of the network follows a power-law, the network is scale-free; if any two arbitrary nodes in a network can be connected in a very small number of steps, the network is said to be small-world.