Two complementary representations of a scale-free network
نویسندگان
چکیده
منابع مشابه
2 0 Ju n 20 04 Two complementary representations of a scale - free network
Several studies on real complex networks from different fields as biology, economy , or sociology have shown that the degree of nodes (number of edges connected to each node) follows a scale-free power-law distribution like P (k) ≈ k −γ , where P (k) denotes the frequency of the nodes that are connected to k other nodes. Here we have carried out a study on scale-free networks, where a line grap...
متن کامل. bi o - ph ] 1 3 A pr 2 00 5 Two complementary representations of a scale - free network
Several studies on real complex networks from different fields as biology, economy , or sociology have shown that the degree of nodes (number of edges connected to each node) follows a scale-free power-law distribution like P (k) ≈ k −γ , where P (k) denotes the frequency of the nodes that are connected to k other nodes. Here we have carried out a study on scale-free networks, where a line grap...
متن کامل. bi o - ph ] 1 6 Fe b 20 04 Two complementary representations of a scale - free network
Several experimental studies on different fields as molecular biology, economy, or sociology have shown that real complex networks are following a power-law distribution like P (k) ≈ k −γ. However, many real networks hold two kind of nodes, being able to be projected as two embedded networks, e.g. movie-actor collaboration network (actors network and movies network), metabolic pathways (substra...
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We use a set of evoked words to define the vertices of a network. The connections between vertices are established by individuals in a population that evoke these words. The resulting graph is called an Evoked Words Network, EWN. The data of evoked words comes from an epidemiological research in odontological public health. In this research we consider three concept themes or evocative words: m...
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The district of southern California is divided into small cubic cells. Each cell is regarded as a vertex of a random graph, when earthquakes with any values of magnitude occur therein. Successive earthquakes define an edge and a loop. Then, the seismic data are analyzed from the viewpoint of an evolving random network. It is found that the distribution of connectivities in the earthquake networ...
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ژورنال
عنوان ژورنال: Physica A: Statistical Mechanics and its Applications
سال: 2005
ISSN: 0378-4371
DOI: 10.1016/j.physa.2004.09.013