Network theory

About: Network theory is a research topic. Over the lifetime, 2257 publications have been published within this topic receiving 109864 citations.

Research of Edge Centrality Based on the Algebraic Connectivity

Abstract: In connected graph, edge centrality represents the importance of edge and loading degree in the process of information transmission. The second eigenvalue of Laplacian matrix decides connectivity of complex networks. We propose edge centrality model and cut model based on minimization model of the algebraic connectivity. Edge centrality function is derived in order to calculate edge centrality. Cut model deletes k edges at an iteration whose algebraic connectivity of complex networks decreased fastest. Choice of k is based on edge sparse degree of complex networks. By empirical analysis of real network, the implications of edge with higher centrality and its vertex coincide with the fact. The model can be used in medium-size networks with lower time complexity and higher efficiency.

Applying resource dependence theory and network theory to analysis of relationship quality between logistics users and providers

Abstract: This study adopts Resource Dependence Theory (RDT) and Network Theory (NT) to explore and measure the factors affecting the relationship quality (RQ) between logistics providers and logistics users in addition to considering the impact of RQ on firm performance. By using the survey data collected from 259 respondents who involved in logistics activities in Ho Chi Minh City from October to December 2015. Testing the conceptual model by Structural Equation Modeling (SEM), we find that partner’s importance and network partner knowledge are positively associated with RQ. From the research findings, some recommendations are accordingly proposed.

Análise de redes sociais aplicadas ao transporte aeroviário de cargas

Abstract: The present work objective is the analysis of the United States air cargo transport during a decade, from the year 2004 to 2014. The network theory is used and indicators such as closeness and betweenness are calculated. The present work compares the networks and the respective metrics of the two main airlines of the industry and the other 18 biggest companies what enables the evaluation of the impact of economic recessions, such as the one from 2008, on these networks and the detection of assymetries between companies of different sizes. It is possible to note that, among other aspects, the air cargo transport graph is heavily influenced by the two main private companies of the sector, FedEx and UPS, what can be pointed out by, e.g., the number of nodes of 178 and 106 in 2014 respectively for these networks compared to 81 from the other 18 biggest companies.

Global realignment in financial market dynamics: Evidence from ETF networks

Abstract: The centrality of the United States in the global financial system is taken for granted, but its response to recent political and epidemiological events has suggested that China now holds a comparable position. Using minute-by-minute data from 2012 to 2020 on the financial performance of twelve country-specific exchange-traded funds, we construct daily snapshots of the global financial network and analyze them for the centrality and connectedness of each country in our sample. We find evidence that the U.S. was central to the global financial system into 2018, but that the U.S.-China trade war of 2018–2019 diminished its centrality, and the Covid-19 outbreak of 2019–2020 increased the centrality of China. These indicators may be the first signals that the global financial system is moving from a unipolar to a bipolar world.