Optimizing Synchronizability of Multilayer Networks Based on the Graph Comparison Method

2020 ◽  
Vol 67 (5) ◽  
pp. 1740-1751 ◽  
Author(s):  
Hui Liu ◽  
Jiangqiao Xu ◽  
Zengyang Li ◽  
Xiaoping Wang ◽  
Jinhu Lu ◽  
...  
2020 ◽  
Vol 17 (6) ◽  
pp. 62-75
Author(s):  
A. V. Tikhonova

The article is devoted to the development of the concept of the state to manage its tax risks, based on a systematic approach. The author's concept presupposes the presence of the following elements logically arranged according to the principle "from the general to the particular": 1) mechanisms for managing tax risks, 2) disclosing methodological recommendations, 3) specific proposals for changing legislation. To achieve this goal, the author used general scientific methods (deduction and induction, analysis and synthesis, observation, description, generalization) and private scientific methods of cognition (comparison method, graphical and tabular data presentation methods). We have presented a brief overview of the main tax risks of the Russian Federation in the current economic environment, which are classified in four areas: 1) risks in the field of value added taxation; 2) risks in the field of taxation of profits and income; 3) risks, the source of which is Russia's membership in the Eurasian Economic Union; 4) customs risks. The author presents a general scheme of tax risk management by the state, which includes the context, goals and management strategy. The priority mechanisms for managing the tax risks of the state are formulated on the basis of the presented classification of tax risks. These areas include: introduction of an end-to-end product traceability system; substantiation of taxation methods; joint elimination of tax risks (Federal Tax Service, Federal Customs Service, Ministry of Labor, Federal Service for Financial Monitoring); optimization of tax administration costs on the part of both tax authorities and taxpayers; harmonization of indirect taxation, including duty-free trade; harmonization of international tax rules at the international level; selection of the most effective tools for eliminating multiple taxation. A draft "road map" has been developed to improve the management of state tax risks.


2017 ◽  
pp. 51-54
Author(s):  
Tatiana T. AMBARTSUMOVA ◽  
◽  
Dmitrii I. GRIBOV ◽  
Sergei I. KOPYLOV ◽  
◽  
...  

2017 ◽  
Vol 7 (1) ◽  
pp. 43-52
Author(s):  
Mochamad Tamim Ma’ruf

One-solving methods and techniques necessary to avoid inefficiencies and not economic costs as well as reduce the cost of housing construction is the method of Value Engineering. Value engineering is a method and cost control techniques to analyze a function to its value at the lowest cost alternative (most economical) without reducing the quality desired.At the writing of this study used a comparison method by comparing the initial design to the design proposal of the author. In the housing projects Upgrading Tirto Penataran Asri type 70, the application of Value Engineering conducted on the job a couple walls and roofs pair by replacing some work items with a more economical alternative but does not change the original function and high aesthetic level and still qualify safe. For that performed the step of determining a work item, the alternative stage, the analysis stage, and the stage of recommendations to get a Value Engineering application and cost savings against the wall a couple of work items and partner roof.The proposed design as compared to the initial design. Work items discussed was the work of a couple wall having analyzed obtained savings of Rp. 2,747,643.56 and the work of the roof pair obtained savings of Rp. 2,363,446.80. Thus the total overall savings gained is Rp 5,111,090.36 or savings of 0048%.


1965 ◽  
Author(s):  
Joseph Howard McCarthy ◽  
Thomas Seward Lovering ◽  
Herbert Williams Lakin

Author(s):  
A. V. Ponomarev

Introduction: Large-scale human-computer systems involving people of various skills and motivation into the information processing process are currently used in a wide spectrum of applications. An acute problem in such systems is assessing the expected quality of each contributor; for example, in order to penalize incompetent or inaccurate ones and to promote diligent ones.Purpose: To develop a method of assessing the expected contributor’s quality in community tagging systems. This method should only use generally unreliable and incomplete information provided by contributors (with ground truth tags unknown).Results:A mathematical model is proposed for community image tagging (including the model of a contributor), along with a method of assessing the expected contributor’s quality. The method is based on comparing tag sets provided by different contributors for the same images, being a modification of pairwise comparison method with preference relation replaced by a special domination characteristic. Expected contributors’ quality is evaluated as a positive eigenvector of a pairwise domination characteristic matrix. Community tagging simulation has confirmed that the proposed method allows you to adequately estimate the expected quality of community tagging system contributors (provided that the contributors' behavior fits the proposed model).Practical relevance: The obtained results can be used in the development of systems based on coordinated efforts of community (primarily, community tagging systems). 


2020 ◽  
Vol 108 (5-6) ◽  
pp. 679-687
Author(s):  
E. S. Zhukovskiy

Author(s):  
Ginestra Bianconi

This chapter addresses diffusion, random walks and congestion in multilayer networks. Here it is revealed that diffusion on a multilayer network can be significantly speed up with respect to diffusion taking place on its single layers taken in isolation, and that sometimes it is possible also to observe super-diffusion. Diffusion is here characterized on multilayer network structures by studying the spectral properties of the supra-Laplacian and the dependence on the diffusion constant among different layers. Random walks and its variations including the Lévy Walk are shown to reflect the improved navigability of multilayer networks with more layers. These results are here compared with the results of traffic on multilayer networks that, on the contrary, point out that increasing the number of layers could be detrimental and could lead to congestion.


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