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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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TL;DR: A comparative review of dierent data types used in current tools and applications of Human Mobility studies leads to new approaches for dealing with mentioned challenges.
Abstract: Human Mobility has attracted attentions from dierent elds of studies such as epidemic modeling, trac engineering, trac prediction and urban planning. In this survey we review major characteristics of human mobility studies including from trajectory-based studies to studies using graph and network theory. In trajectory-based studies statistical measures such as jump length distribution and radius of gyration are analyzed in order to investigate how people move in their daily life, and if it is possible to model this individual movements and make prediction based on them. Using graph in mobility studies, helps to investigate the dynamic behavior of the system, such as diusion and ow in the network and makes it easier to estimate how much one part of the network inuences another by using metrics like centrality measures. We aim to study population ow in transportation networks using mobility data to derive models and patterns, and to develop new applications in predicting phenomena such as congestion. Human Mobility studies with the new generation of mobility data provided by cellular phone networks, arise new challenges such as data storing, data representation, data analysis and computation complexity. A comparative review of dierent data types used in current tools and applications of Human Mobility studies leads us to new approaches for dealing with mentioned challenges.
36 citations
TL;DR: There are still many daunting challenges ahead for the formal exploration of social networks using archaeological data, but if archaeologists can face these challenges, they are well positioned to contribute to long-standing debates in the broader sphere of network research on the nature of network theory, the relationships between networks and culture, and dynamics ofsocial networks over the long term.
Abstract: Formal network analyses have a long history in archaeology but have recently seen a rapid florescence. Network models drawing on approaches from graph theory, social network analysis, and complexity science have been used to address a broad array of questions about the relationships among network structure, positions, and the attributes and outcomes for individuals and larger groups at a range of social scales. Current archaeological network research is both methodologically and theoretically diverse, but there are still many daunting challenges ahead for the formal exploration of social networks using archaeological data. If we can face these challenges, archaeologists are well positioned to contribute to long-standing debates in the broader sphere of network research on the nature of network theory, the relationships between networks and culture, and dynamics of social networks over the long term.
36 citations
TL;DR: Wang et al. as discussed by the authors built a weighted directed network of embodied exergy flows between Chinese industries based on the 135-sector input-output table from 2007, and the density, connectedness and degree distribution were used to describe the overall performance of the network.
36 citations
TL;DR: In this article, the authors studied which networks emerge if actors strive to optimize their centrality in the network in terms of betweenness and closeness, and also analyzed what happens if actors value betweenness, closeness and betweenness simultaneously.
Abstract: Although both betweenness and closeness centrality are claimed to be important for the effectiveness of someone's network position, it has not been comprehensively studied which networks emerge if actors strive to optimize their centrality in the network in terms of betweenness and closeness. We study each of these centrality measures separately, but we also analyze what happens if actors value betweenness and closeness simultaneously. Network dynamics differ considerably in a scenario with either betweenness or closeness incentives compared with a scenario in which closeness and betweenness incentives are combined. There are not only more stable networks if actors' betweenness and closeness are combined, but also these stable networks are less stylized.
36 citations
01 Apr 1967
TL;DR: In this paper, a generalization of bounded real and positive real functions for distributed systems is presented, as well as generalizations of Foster's reactance theorem for lossless networks.
Abstract: Network methods are by no means limited to lumped systems. Once the ports of a generalized physical structure are defined by use of a modal decomposition of signals, the structure can be analyzed using network techniques which extend beyond the domain of RLC systems and rational network functions. If the physical system is observed as a black box at its ports and various physical time-domain postulates such as linearity, energy, and power conservation theorems are applied in network terms, a variety of realizability relations are obtained for linear, passive, time-invariant structures. For example, one is led to generalizations of bounded real and positive real functions for distributed systems. The network technique also results in a number of interesting theorems for lossless structures such as a generalization of Foster's reactance theorem, and restrictions on minimum phase realizability, and on signal transmission and group delay in distrributed, lossless networks. These results apply in structures containing gyrotropic, dispersive media as well as in the reciprocal, nondispersive case.
36 citations