|
Hierarchical Network Model
Hierarchical network models are iterative algorithms for creating Complex network, networks which are able to reproduce the unique properties of the Scale-free network, scale-free Network topology, topology and the high Clustering coefficient, clustering of the Node (graph theory), nodes at the same time. These characteristics are widely observed in nature, from biology to language to some social networks. Concept 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 model, Barabási–Albert, Watts and Strogatz model, Watts–Strogatz) in the Distribution (mathematics), distribution of the nodes' clustering coefficients: as other models would predict a constant clustering coefficient as the function of the Degree (graph theory), degree of the node, in hierarchical models nodes ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Complex Network
In the context of network theory, a complex network is a graph (network) with non-trivial topological features—features that do not occur in simple networks such as lattices or random graphs but often occur in networks representing real systems. The study of complex networks is a young and active area of scientific research (since 2000) inspired largely by empirical findings of real-world networks such as computer networks, biological networks, technological networks, brain networks, climate networks and social networks. Definition Most social, biological, and technological networks display substantial non-trivial topological features, with patterns of connection between their elements that are neither purely regular nor purely random. Such features include a heavy tail in the degree distribution, a high clustering coefficient, assortativity or disassortativity among vertices, community structure, and hierarchical structure. In the case of directed networks these f ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
