A Weighted Network Model Based on the Preferential Selection of Edges
نویسندگان
چکیده
A model for the growth of weighted networks is proposed. The model is based on the edge preferential selection. By the master equation approach, the distributions of strength, weight and degree are provided and results show that each distribution has a power-law tail. Particularly, the network has a high clustering coefficient.
منابع مشابه
Optimal Coding Subgraph Selection under Survivability Constraint
Nowadays communication networks have become an essential and inevitable part of human life. Hence, there is an ever-increasing need for expanding bandwidth, decreasing delay and data transfer costs. These needs necessitate the efficient use of network facilities. Network coding is a new paradigm that allows the intermediate nodes in a network to create new packets by combining the packets recei...
متن کاملA Framework for Optimal Attribute Evaluation and Selection in Hesitant Fuzzy Environment Based on Enhanced Ordered Weighted Entropy Approach for Medical Dataset
Background: In this paper, a generic hesitant fuzzy set (HFS) model for clustering various ECG beats according to weights of attributes is proposed. A comprehensive review of the electrocardiogram signal classification and segmentation methodologies indicates that algorithms which are able to effectively handle the nonstationary and uncertainty of the signals should be used for ECG analysis. Ex...
متن کاملA weighted Additive Fuzzy Programming Approach for Logistics Outsourcing Selection in Car Industry
Logistics outsourcing has been at the top of the management agenda during recent decades. The selection of the proper service supplier is the key to success in logistic outsourcing Firms could select the right supplier by applying appropriate methods and selection criteria. In this paper a new framework is proposed on the basis of weighted additive fuzzy programming approach and linear programm...
متن کاملEmergence of Social Structures via Preferential Selection
We examine a weighted-network multiagent model with preferential selection such that agents choose partners with probability p(w), where w is the number of their past selections. When p(w) increases sublinearly with the number of past selections [p(w)∼w(α),α<1], agents develop a uniform preference for all other agents. At α=1, this state loses stability and more complex structures form. For a s...
متن کاملAn Integrated Closed-loop Supply Chain Configuration Model and Supplier Selection based on Offered Discount Policies
In this paper, a mathematical programming model is presented for integrated problem of closed loop supply chain network design and supplier selection. The suppliers propose discount policy based on purchase amount and loyalty of buyers which are both taken from the elements of RFM (Recency, Frequency and Monetary) technique. The main objective of this paper which is formulated by a mixed-integ...
متن کامل