Abstract The link-prediction of complex networks is a new method network structure mining, which different from the traditional methods based on machine learning. It reveals those existing relations and predicts possible ones, by using similarity index structure. This paper studied topology railway link-prediction. dataset was firstly obtained sampling pre-processing. Its degree obeys power-law...

We introduce Complex Automata, a generic methodology to model multi-scale complex systems. A Complex Automaton is a scalable hierarchical aggregation of Cellular Automata and agent-based models, each modelling components of the Complex System. The components represent a sub-system operating on its typical spatial and temporal scales. The concept of a scale map is introduced to identify componen...

security as one of the basic human needs has a special place in relaxation, comfort and spiritual needs provision. for this reason, security is always of managers, planners, architects and urban designers' interest. solutions and strategies of security provision have been fundamentally changed following prevailing change of housing architecture patterns from homes to residential complexes ...

Community structure is vital to discover the important structures and potential property of complex networks. In recent years, the increasing quality of local community detection approaches has become a hot spot in the study of complex network due to the advantages of linear time complexity and applicable for large-scale networks. However, there are many shortcomings in these methods such as in...

Introduction Compartmental analysis allows the mathematical separation of tissues and organs to determine activity concentration in each point of interest. Biodistribution studies on humans are costly and complicated, whereas such assessments can be easily performed on rodents. In this study, we aimed to develop a pharmacokinetic model of 153Sm-maltolate complex as a novel therapeutic agent and...