Self-similarity networks and self-similarity network group
نویسندگان
چکیده
The self-similarity of complex has extensive practical background in real world. It is similar to the phenomena of social relationships: “things of one kind come together, birds of a feather flock together”. Hence, we proposed the self-similarity network evolving model based on attributes similarity between the nodes. In network each node has the attribute value, by this computing similarity between the nodes. If two nodes similar attribute falls in certain sector, then established the connection between nodes. The simulations make clear that the degree distribution of the self-similarity network similar to the small-world networks. The clustering and the average path of the self-similarity network are smaller than BA model and are bigger than small world. Similar network model is a new characteristic of complex network except the BA mode and the small world mode. Similar network gathering similar network groups, and the information transferred quickly in similar network group.
منابع مشابه
Uncertainty Modeling of a Group Tourism Recommendation System Based on Pearson Similarity Criteria, Bayesian Network and Self-Organizing Map Clustering Algorithm
Group tourism is one of the most important tasks in tourist recommender systems. These systems, despite of the potential contradictions among the group's tastes, seek to provide joint suggestions to all members of the group, and propose recommendations that would allow the satisfaction of a group of users rather than individual user satisfaction. Another issue that has received less attention i...
متن کاملEffect of CSMA/CD on Self-Similarity of Network Traffic
It is now well known that Internet traffic exhibits self-similarity, which cannot be described by traditional Markovian models such as the Poisson process. The causes of self-similarity of network traffic must be identified because understanding the nature of network traffic is critical in order to properly design and implement computer networks and network services like the World Wide Web. Whi...
متن کاملA Tree-Structured Deterministic Self-Similar Network
Self-similarity is a property existing in natural, social, technological, biological, and many other networks. The whole and the parts, or one part and another part of self-similar networks present some similarity. In the past dozen years, researchers have proposed some deterministic self-similar networks by utilizing various kinds of mechanisms. In this paper, we propose a new deterministic se...
متن کاملModelling the Self-similarity in Complex Networks Based on Coulomb's Law
Recently, self-similarity of complex networks have attracted much attention. Fractal dimension of complex network is an open issue. Hub repulsion plays an important role in fractal topologies. This paper models the repulsion among the nodes in the complex networks in calculation of the fractal dimension of the networks. The Coulomb’s law is adopted to represent the repulse between two nodes of ...
متن کاملLink Prediction using Network Embedding based on Global Similarity
Background: The link prediction issue is one of the most widely used problems in complex network analysis. Link prediction requires knowing the background of previous link connections and combining them with available information. The link prediction local approaches with node structure objectives are fast in case of speed but are not accurate enough. On the other hand, the global link predicti...
متن کامل