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Network theory
About: Network theory is a research topic. Over the lifetime, 2257 publications have been published within this topic receiving 109864 citations.
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21 Jul 2013
TL;DR: In this article, the evolution of IP network measurement is reviewed at first, basic concepts and various technologies of network measurement are introduced, including active performance measurement, passive flow measurement, network tomography and network probe.
Abstract: Network measurement and evaluation is one of important means for dealing with network theory researches, management and engineer development. In this paper, evolution of IP network measurement is reviewed at first. Then, basic concepts and various technologies of network measurement are introduced, including active performance measurement, passive flow measurement, network tomography and network probe. Afterwards, performance evaluation index and several popular network performance evaluation methods are explored. Finally, brief summarization is given.
3 citations
27 Jun 2011
TL;DR: In this article, the authors apply organizational learning and network theory to understand the contingencies of the relationship between technological diversity and firm performance in R&D alliance, and explore the internal and external capabilities of firms as measured by learning speed and network centrality, and the positive effects of these capabilities on firm performance.
Abstract: This paper applies organizational learning and network theory to understand the contingencies of the relationship between technological diversity and firm performance in R&D alliance. It focuses on two aspects of organizational capabilities (learning speed and network centrality of the firm) as potential enhancements to the firm's financial performance. To carry out these empirical examinations, we constructed a data set comprising the alliance and patenting activities of firms in various U.S. industries. This study points out the disadvantage of a high level of technological diversity among alliance firms. It also explores the internal and external capabilities of firms, as measured by learning speed and network centrality, and the positive effects of these capabilities on firm performance. The study's implications and future research directions are discussed.
3 citations
TL;DR: Stability as an emergent property of ecological systems is discussed, as well as a common language of network theory that will transfer among socio-ecological systems is promoted to reveal the existence of common constraints or determinants on network stability for ecological systems.
Abstract: The objectives of this paper are to discuss stability as an emergent property of ecological systems, as well as promote a common language of network theory that will transfer among socio-ecological systems. Many researchers have understood the relationship between diversity and redundancy of species as network nodes, and even the response/effect trait framework aspect of this (i.e., overlapping traits associated with environmental response and ecosystem-level effects). Many researchers have also made the connections between network architecture and robustness, recognizing species interaction links as important aspects of architecture, but few papers incorporate concepts of diversity and redundancy for both nodes and links into aspects of architecture, and consequently network dynamics and stability. Using a common language framework of network theory and commonalities of network properties across outwardly different network types may reveal the existence of common constraints or determinants on network stability for ecological systems.
3 citations
TL;DR: In this article, the authors tried to fill this gap by incorporating possibly incomplete relationship structures between economic actors in a standard model of monopolistic competition and then analyzed the effect of different network structures on the equilibrium and dynamic properties of the model.
Abstract: Although network theory has been busy to emphasize the role of connection structures in shaping aggregate level phenomena of complex systems, there are only few attempts in economic modeling which try to build this dimension into the analysis. Macroeconomic models typically build on complete connectedness among economic actors (frictionless flow of information, perfect information on prices), thus these models typically oversee the possible effects of complex, incomplete network structures among economic agents on emergent macroeconomic phenomena. In this paper we try to fill this gap by incorporating possibly incomplete relationship structures between economic actors in a standard model of monopolistic competition and then analyze the effect of different network structures on the equilibrium and dynamic properties of the model. Analytical and simulation results of the model show that incomplete connectedness give rise to deadweight loss, shrinking output below the level observed in standard models with complete networks. Also, the dynamics of link formation has an effect on the steady state of the economy as well as on its response to shocks.
3 citations
Posted Content•
TL;DR: In this paper, the performance of several network centrality measures in detecting systemically important financial institutions (SIFI) using data from the Turkish Interbank market during the financial crisis in 2000 was analyzed.
Abstract: In this paper, we analyze the performance of several network centrality measures in detecting systemically important financial institutions (SIFI) using data from the Turkish Interbank market during the financial crisis in 2000. We employ various network investigation tools such as volume, transactions, links, connectivity and reciprocity to gain a clearer picture of the network topology of the interbank market. We study the main borrower role of Demirbank in the crash of the banking system with network centrality measures which are extensively used in the network theory. This ex-post analysis of the crisis shows that centrality measures perform well in identifying and monitoring systemically important financial institutions which provide useful insights for financial regulations.(This abstract was borrowed from another version of this item.)
2 citations