Generation models for scale-free networks
نویسندگان
چکیده
منابع مشابه
Generation of uncorrelated random scale-free networks.
Uncorrelated random scale-free networks are useful null models to check the accuracy and the analytical solutions of dynamical processes defined on complex networks. We propose and analyze a model capable of generating random uncorrelated scale-free networks with no multiple and self-connections. The model is based on the classical configuration model, with an additional restriction on the maxi...
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Introduction Non-growing scale-free networks represent an interesting class of complex networks. Compared to growing networks, which have been studied in many different scenarios with great success [1, 2, 3], they aim at modeling situations where a complex topology different from purely random is emerging but no growth process is present. There are many examples, mainly in biology (see [4] and ...
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To evaluate peer-to-peer systems through discrete-event simulation, one needs to be able to generate sufficiently large networks of nodes that exhibit the desired properties, such as the scale-free nature of the connectivity graph. In applications such as the web of trust or analysis of hyperlink structures, the direction of the arcs between two nodes is relevant and one therefore generates dir...
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Many complex natural and physical systems exhibit patterns of interconnection that conform, approximately, to a network structure referred to as scale-free. Preferential attachment is one of many algorithms that have been introduced to model the growth and structure of scale-free networks. With so many different models of scale-free networks it is unclear what properties of scale-free networks ...
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ژورنال
عنوان ژورنال: Physica A: Statistical Mechanics and its Applications
سال: 2004
ISSN: 0378-4371
DOI: 10.1016/j.physa.2004.01.056