scholarly journals PROBABILITY OF THE UTILITY NETWORKS DOUBLE-RING STRUCTURES’ CONNECTIVITY FOR SITES WITH VARIOUS RELIABILITY

2018 ◽  
Vol 1 (50) ◽  
pp. 270-277
Author(s):  
V. H. Usenko ◽  
О. А. Kodak
Keyword(s):  
Network Structure ◽  
Analytical Description ◽  
Network Structures ◽  
Structural Redundancy ◽  
Double Ring ◽  
Connectivity Probability ◽  
Study Results ◽  
Ring Structures ◽  
Probability Of Connectivity ◽  
Structural Parts

The analytical description study results on probability of connectivity for the structures used to model the reliability of various complicated systems are presented. Expressions are formed to calculate the connectivity probability of systems that have structural redundancy. The characteristic components of the formulas are distinguished and they are systematized according to their increasing complexity and the number of elements. The features of the equations’ structure permitting to conveniently formulate the probability of the structures connectivity in the process of their construction and transformations are determined. The examples show the formation of formulas and their structural parts at various levels of complexity. The use of the ratio value of the network structure element’s unreliability and its reliability is justified, thus reducing the awkwardness of exact expressions for the connectivity probability of network structures and substantially improves the compactness and convenience of using the equations.

Network Organizational Structure (a Scientific and Practical Review)

2020 ◽  
Vol 26 (6) ◽  
pp. 613-618
Author(s):  
A. V. Altukhov ◽  
S. A. Tishchenko
Keyword(s):  
Organizational Structure ◽  
Network Structure ◽  
Business Models ◽  
Scientific Development ◽  
Network Structures ◽  
Scientific Publications ◽  
Wide Range ◽  
Modern Business ◽  
History Of ◽  
Business Structures

The presented study reviews practically relevant research papers in the field of network structures, modern network business models and platforms.Aim. The study aims to elaborate and explain the concept of network structure and platform and to show the reasons for the progressiveness and potential of network organizational structure at the current stage of socio-economic and scientific development.Tasks. The authors highlight the main scientific ideas about network structures in business, including significant studies in this area; provide and explain the main terms and definitions and examine the key characteristics of network business structures; characterize “platforms” as an important concept for modern business and show the relationship between platforms and network structures.Methods. This study uses analysis of information and subsequent synthesis of new knowledge in the form of the authors’ conclusions and a wide range of relevant scientific publications of Russian and foreign authors, including original publications in English and French.Results. The history of network structures is briefly provided. Definitions and characteristics of such concepts as “network structure” and “platform” in relation to business are provided and explained by the authors.

scholarly journals NETWORK STRUCTURES DEVELOPMENT: FROM DOMESTIC MARKETS TO NETWORK PLATFORM

2020 ◽  
Vol 8 (8) ◽  
pp. 219-222
Author(s):  
N. S. Churkina ◽  
D. A. Stepanenko
Keyword(s):  
Network Structure ◽  
Network Structures ◽  
Domestic Markets ◽  
Platform Development ◽  
Network Platform ◽  
Type Of Management

The article is devoted to the study of the development of network structures, causes, forms and trends. The work highlights the directions of interaction of organizations that are part of the network structure, defines the principles of the network, formulates the principles of intra-network interactions. We determined the characteristics of marketing of various types of organizations and escribed the effects of network platforms. We made conclusions about the further direction of platform development and the change in the type of management of organizations as elements of network structures.

scholarly journals Self Assembly of Model Polymers into Biological Random Networks

2020 ◽  
Author(s):  
Matthew Bailey ◽  
Mark Wilson
Keyword(s):  
Network Structure ◽  
Biological Networks ◽  
Self Assembly ◽  
Short Range ◽  
External Pressure ◽  
Coarse Grained ◽  
Random Networks ◽  
Network Structures ◽  
Polymer Model ◽  
Microscope Images

<div>The properties of biological networks, such as those found in the ocular lens capsule, are difficult to study without simplified models.</div><div>Model polymers are developed, inspired by "worm-like'' curve models, that are shown to spontaneously self assemble</div><div>to form networks similar to those observed experimentally in biological systems.</div><div>These highly simplified coarse-grained models allow the self assembly process to be studied on near-realistic time-scales.</div><div>Metrics are developed (using a polygon-based framework)</div><div>which are useful for describing simulated networks and can also be applied to images of real networks.</div><div>These metrics are used to show the range of control that the computational polymer model has over the networks, including the polygon structure and short range order.</div><div>The structure of the simulated networks are compared to previous simulation work and microscope images of real networks. </div><div>The network structure is shown to be a function of the interaction strengths, cooling rates and external pressure. </div><div>In addition, "pre-tangled'' network structures are introduced and shown to significantly influence the subsequent network structure.</div><div>The network structures obtained fit into a region of the network landscape effectively inaccessible to random</div><div>(entropically-driven) networks but which are occupied by experimentally-derived configurations.</div>

scholarly journals Research and Application of a Clear Diamond-Shaped Distribution Network Structure

2021 ◽  
Vol 9 ◽  
Author(s):  
Liu Shengli ◽  
Wu Jun ◽  
Xue Longjiang ◽  
Wu Di ◽  
Lu Haiqing ◽  
...  
Keyword(s):  
Network Structure ◽  
Power Supply ◽  
Distribution Network ◽  
Regional Distribution ◽  
Distribution Networks ◽  
Ring Network ◽  
Medium Voltage ◽  
Double Ring ◽  
Diamond Type ◽  
Supply Reliability

Aiming at the problems of low power supply reliability, poor transfer capacity between stations, and low line utilization in the current distribution network, this paper proposes a diamond-shaped distribution network structure with a clear structure. First, we investigated the typical wiring patterns of medium-voltage distribution networks in Tokyo, Japan, Paris, France, and China’s developed cities, and summarized experience and shortcomings. Secondly, combining the typical wiring patterns of distribution networks in China and abroad, construct a diamond-shaped distribution network structure, and study its adaptability, safety and flexibility, power supply reliability, and economy. Finally, take the transformation of the wiring mode of a regional distribution network in a certain city as an example, compare the use of the diamond-shaped distribution network structure in this article with the use of cable double-ring network wiring, cable “double petal” wiring, and Shanghai diamond-type wiring distribution network grid reconstruction The effect verifies the superiority of the diamond-shaped distribution network structure in this paper.

Simulating Social Network Formation

2011 ◽  
pp. 581-599
Author(s):  
Robert Gilles ◽  
Tabitha James ◽  
Reza Barkhi ◽  
Dimitrios Diamantaras
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Network Structure ◽  
Network Formation ◽  
Theoretic Model ◽  
Network Structures ◽  
Agent Behavior ◽  
Graph Theoretic ◽  
Model And Simulation ◽  
Graph Theoretic Models

Social networks depict complex systems as graph theoretic models. The study of the formation of such systems (or networks) and the subsequent analysis of the network structures are of great interest. For information systems research and its impact on business practice, the ability to model and simulate a system of individuals interacting to achieve a certain socio-economic goal holds much promise for proper design and use of cyber networks. We use case-based decision theory to formulate a customizable model of information gathering in a social network. In this model, the agents in the network have limited awareness of the social network in which they operate and of the fixed, underlying payoff structure. Agents collect payoff information from neighbors within the prevailing social network, and they base their networking decisions on this information. Along with the introduction of the decision theoretic model, we developed software to simulate the formation of such networks in a customizable context to examine how the network structure can be influenced by the parameters that define social relationships. We present computational experiments that illustrate the growth and stability of the simulated social networks ensuing from the proposed model. The model and simulation illustrates how network structure influences agent behavior in a social network and how network structures, agent behavior, and agent decisions influence each other.

Social Network Structures for Explicit, Tacit and Potential Knowledge

2011 ◽  
pp. 81-90
Author(s):  
Anssi Smedlund
Keyword(s):  
Knowledge Management ◽  
Social Network ◽  
Tacit Knowledge ◽  
Network Structure ◽  
Explicit Knowledge ◽  
Network Structures ◽  
Underlying Assumption ◽  
Knowledge Assets ◽  
Social Network Structure

The purpose of this conceptual article is to develop argumentation of the knowledge assets of a firm as consisting of three constructs, to extend the conventional explicit, tacit dichotomy by including potential knowledge. The article highlights the role of knowledge, which has so far not been utilized in value creation. The underlying assumption in the article is that knowledge assets can be thought of as embedded in the relationships between individuals in the firm, rather than possessed by single actors. The concept of potential knowledge is explained with selected social network and knowledge management literature. The findings suggest that the ideal social network structure for explicit knowledge is centralized, for tacit knowledge it is distributed, and for potential knowledge decentralized. Practically, the article provides a framework for understanding the connection between knowledge assets and social network structures, thus helping managers of firms in designing suitable social network structures for different types of knowledge.

SME network relationships and competitive strategies in the agri-food sector

2020 ◽  
Vol 32 (3) ◽  
pp. 405-424 ◽  
Author(s):  
Luca Camanzi ◽  
Carlo Giua
Keyword(s):  
Conceptual Model ◽  
Network Structure ◽  
Competitive Strategy ◽  
Integrated Approach ◽  
Business Networks ◽  
Business Network ◽  
Content Type ◽  
Stakeholder Relationships ◽  
Study Results

Purpose The purpose of this paper is to identify the main factors influencing agri-food small and medium enterprises (SMEs) participation in business networks and to evaluate the impacts of these factors on network structure and the ensuing competitive strategy. Design/methodology/approach The study is articulated in four main steps. First, a critical literature review is conducted concerning the main approaches to firm competitive advantage and the role of stakeholder relationships. Then, three research questions are formulated and discussed in the light of two case studies describing the implementation of an innovative contractual solution in Italy (i.e. business network contracts). Finally, based on these findings, a set of more general “propositions” are stated and included in a provisional conceptual model that schematically depicts an integrated vision of the antecedents and mechanisms influencing SMEs business network structure and competitive strategy. Findings The study results pointed out the opportunity to adopt an integrated approach, combining resource-based view and stakeholder causal scope approaches. The provisional conceptual model proposed illustrates the role of both external and internal resources and relational constructs to shaping network structure and competitive strategy. Originality/value The study’s contribution is twofold. First, the empirical study shed light on opportunities and limits of two business networks with different backgrounds, approaches and outcomes towards value creation. Second, the conceptual framework proposed advances our understanding and knowledge of the factors and mechanisms influencing SMEs business network structure and competitive strategy.

INFORMATION EXCHANGES OF SOCIAL MEDIA EVANGELISTS DURING FLOOD: A SOCIAL NETWORK ANALYSIS

2016 ◽  
Vol 78 (9-3) ◽  
Author(s):  
Abdus-samad Temitope Olanrewaju ◽  
Rahayu Ahmad ◽  
Kamarul Faizal Hashim
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Network Structure ◽  
Information Dissemination ◽  
Network Structures ◽  
Analysis Technique ◽  
Types Of Information ◽  
Information Brokers

Information dissemination during disaster is very crucial, but inherits several complexities associated with the dynamic characteristics of the disaster. Social media evangelists (activists) play an important role in disseminating critical updates at on-site locations. However, there is limited understanding on the network structure formed and its evolution and the types of information shared. To address these questions, this study employs Social Network Analysis technique on a dataset containing 157 social media posts from an influential civilian fan page during Malaysia’s flood. The finding demonstrates three different network structures emerged during the flood period. The network structure evolves depending on the current state of the flood, the amount of information available and the need of information. Through content analysis, there were seven types of information exchanges discovered. These information exchanges evolved as the scale and magnitude of flood changes. In conclusion, this study shows the emergence of different network structures, density and identification of influential information brokers among civilians that use social media during disaster. Despite the low number of influential information brokers, they successfully manage their specific cluster in conveying information about the disaster and most importantly coordinating the rescue mission.

Suppressing the thermal degradation of bismuth near-infrared luminescence in optical amorphous materials via topologically polymerized network structures

2019 ◽  
Vol 7 (17) ◽  
pp. 5074-5083
Author(s):  
Liping Wang ◽  
Mingying Peng ◽  
Xingyu Li ◽  
Yafei Wang ◽  
Haoyang Luo ◽  
...  
Keyword(s):  
Thermal Degradation ◽  
Network Structure ◽  
Amorphous Materials ◽  
Near Infrared ◽  
Glass Network ◽  
Network Structures ◽  
Infrared Luminescence

Thermal degradation of Bi NIR emissions is completely inhibited via a polymerized glass network structure.

The effect of network structure on radical innovation in living labs

2016 ◽  
Vol 31 (6) ◽  
pp. 743-757 ◽  
Author(s):  
Seppo Leminen ◽  
Anna-Greta Nyström ◽  
Mika Westerlund ◽  
Mika J. Kortelainen
Keyword(s):  
Network Structure ◽  
Radical Innovation ◽  
Incremental Innovation ◽  
Network Structures ◽  
Content Type ◽  
Radical Innovations ◽  
Strategic Objective ◽  
Living Lab ◽  
Multiplex Network ◽  
Living Labs

Purpose This study aims to focus on living labs as a means of achieving radical innovation by discussing the differences in their network structure and its effect on the type of innovation outcome. Design/methodology/approach This research analyses 24 living labs in four countries using qualitative methods. Findings A specific network structure referred to as a distributed multiplex supports radical innovation in living labs, while distributed and centralized network structures support incremental innovations. Also, the results suggest that radical innovation depends on the driving actor and objectives in a living lab. Research limitations/implications A bias on the perceived novelty of innovation may exist when analyzing data collected through interviews with a limited number of living lab participants compared to a large number of informants. This study proposes a two-dimensional framework based on the network structure to investigate innovation in living labs. Practical implications This paper offers a classification tool to identify, categorize and make sense of organizations’ participation in open innovation networks and in living labs. Originality/value The study provides evidence that, although the distributed multiplex network structure supports the emergence of radical innovations, the distributed and centralized network structures support incremental innovation. A combination of a provider- or utilizer-driven living lab and a distributed multiplex network structure, with a clearly defined and future-oriented strategic objective, offers good potential for radical innovation to occur.

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