navigation with low and stable delivery time almost independent of network size. For geographical localized networks, the …In this article, we propose a mixing navigation mechanism, which interpolates between random-walk and shortest …-path protocol. The navigation efficiency can be remarkably enhanced via a few routers. Some advanced strategies are also designed …

networks are comprehensively investigated. The networks we explored, each of which is embedded in a K-dimension Euclidean space … from the nodes in the networks, and the messages are passed along from source to target in this space based on the greedy … messages successfully delivered, is related to stronger modularity of the complex networks. In addition, the optimal dimension …

considering navigation in modern traffic. To our knowledge, the model is an improvement over the previous ones theoretically …

In this paper, we explore how the approach of optimal navigation (Cajueiro (2009) [33]) can be used to evaluate the … rail as proxies for complex networks, we show that the centrality measures inherited from the approach of optimal … navigation may be considered if one desires to evaluate the centrality of the nodes using other pieces of information beyond the …

an information perspective of navigation in four different subway networks: New York City, Paris, Barcelona and Moscow …. We addressed our study to investigate what is that makes it complicated to navigate in these kinds of networks and we …/efficiency indicators which are defined in the complex networks literature. We find that the overall complexity in finding stations measured …

social network data collection and analysis in recent years. Within many such networks the interactions are transient: thus … those networks evolve over time. In this paper we introduce a class of models for such networks using evolving graphs with … memory dependence. In particular we show that such networks may continue evolving forever, or else may quench and become …

network’s Laplacian matrix. In that regime, this novel approach is robust to noise in empirical data and may be also broadly … relevant to complex networks with frustrated interactions that are studied throughout scientific fields. …

embedded into an agent-based model that allows exploration of macro-level patterns of technology diffusion throughout systems … adoption speed. Finally, we performed a simulation of competition between options for both regular and small world networks. …