Topic
Network theory
About: Network theory is a research topic. Over the lifetime, 2257 publications have been published within this topic receiving 109864 citations.
Papers published on a yearly basis
Papers
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TL;DR: A number of unsolved problems are presented, included among which is what could be called the four-color problem of network synthesis, namely, the resistance n -port problem.
6 citations
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TL;DR: In this article, the authors introduce network theory to the study of the economics and law of telecommunications and apply the principles of transaction cost economics to analyze decisions about the appropriate boundaries of proprietary network architecture.
Abstract: Networks in Telecommunications addresses fundamental issues in discussions of regulatory policy by offering an integrated framework for understanding the economics and law of networks. It extends theories on network design associated with the mathematics of graph theory, which provides insights into the complex, systemic interrelationship between network components. It also applies the principles of transaction cost economics to analyze decisions about the appropriate boundaries of proprietary network architecture. The book introduces network theory to the study of the economics and law of telecommunications. The discussion opens up the black box of the cost function in telecommunications. The analysis also goes beyond the 'network externalities' approach that focuses primarily on the size of networks. The book highlights the effects of network architecture and the tradeoffs inherent in network design.
6 citations
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TL;DR: In this article, the cascade capacity is defined as a measure of how "choosy" individuals in a social network can be and still allow an individual to cause something to spread completely through the network.
Abstract: Why ideas and practices spread is an important topic for management scholars and practitioners. Network dynamics including network structure, play a vital role in diffusion. This paper presents the cascade capacity as an aspect of network structure which plays a significant role in determining diffusion. It is essentially a measure of how 'choosy' everyone in a social network can be and still allow an individual to cause something to spread completely through the network. Drawing on social contagion theory and network theory, we propose a research model about how network structure relates to diffusion and test it by simulation, using network data from the popular microblogging service Twitter. Results show the cascade capacity to be an important determinant of diffusion, even when we model for homophily. We show how the concept could be used to pick individuals to seed to encourage word of mouth marketing.
6 citations
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TL;DR: A knowledge network model of the energy consumption in the discrete manufacturing system was put forward based on knowledge network theory and multi-granularity modular ontology technology, which could provide a standard representation for concepts, terms and their relationships which could be understood by both human and computer.
Abstract: Discrete manufacturing system generates a large amount of data and information because of the development of information technology Hence, a management mechanism is urgently required In order to incorporate knowledge generated from manufacturing data and production experience, a knowledge network model of the energy consumption in the discrete manufacturing system was put forward based on knowledge network theory and multi-granularity modular ontology technology This model could provide a standard representation for concepts, terms and their relationships, which could be understood by both human and computer Besides, the formal description of energy consumption knowledge elements (ECKEs) in the knowledge network was also given Finally, an application example was used to verify the feasibility of the proposed method
6 citations