The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Two characters, scale-free and hierarchical structure, are shown in lots of real systems all over the world. In this article, firstly, we build up a class of network models with hierarchical structure, denoted by Nh(t), and prove it to be scale-free. By computing average degrees, we find these network models are all sparse. Secondly, based on their special topological structure, we research analytically...
For understanding dynamical phenomena Barabási and Albert shown a process that has been a useful mathematical method, and was changed in various forms and applied in researching of scale-free networks. We focus on dynamic differential equations like that by Barabási and Albert, and construct network models by the typical and generalized dynamic differential equations. Analysis of degree distribution...
Multiple-partite networks exist in the real world, such as engineering constructions consisted of workers and machines. We build up random multiple-partite network models and show their topological properties by means of well-known methods appeared in the Barabási-Albert model. We find some new characters of the Barabási-Albert model and BA-type models, and show a connection between the degree distribution...
In order to interpret the dynamical nature of networks, one must realize the integrated features of network models as well as the partial characters, such as degree distribution. Hence, studying topological structure of complex networks is significant and raises scholar's concern at home and aboard. We focus on building up a type of edge-bound growing network model(E-BGN model) by construction algorithm...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.