3,861 research outputs found

    Entropy Optimization of Scale-Free Networks Robustness to Random Failures

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    Many networks are characterized by highly heterogeneous distributions of links, which are called scale-free networks and the degree distributions follow p(k)∌ck−αp(k)\sim ck^{-\alpha}. We study the robustness of scale-free networks to random failures from the character of their heterogeneity. Entropy of the degree distribution can be an average measure of a network's heterogeneity. Optimization of scale-free network robustness to random failures with average connectivity constant is equivalent to maximize the entropy of the degree distribution. By examining the relationship of entropy of the degree distribution, scaling exponent and the minimal connectivity, we get the optimal design of scale-free network to random failures. We conclude that entropy of the degree distribution is an effective measure of network's resilience to random failures.Comment: 9 pages, 5 figures, accepted by Physica

    Sense of place and the city: the case of non-native residents in Lisbon

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    Tang, V., Acedo, A., & Painho, M. (2021). Sense of place and the city: the case of non-native residents in Lisbon. Journal of Spatial Information Science, Special Issue: Special Feature on Interdisciplinary Perspectives on Place(23), 125-155. https://doi.org/10.5311/JOSIS.2021.23.165 ------------------------------Funding Information: This work was supported by the Master of Science in Geospatial Technologies (Geotech), an Erasmus Mundus Joint Masters (EMJMD) consortium under the EU’s Erasmus+ program.When immigrants move to a new city, they tend to develop distinct relationships with the urban landscape, which in turn becomes the new setting of their routine-based activities that evolve over time. Previous works in environmental psychology have quantitatively examined non-native residents' development of sense of place towards their new environment. In this paper, we introduce the spatial perspective into studying the sense of place experienced by non-natives in an urban context. We study the person-place bonds, relationships, and feelings cultivated by non-native residents living in the city of Lisbon (Portugal) through an online map-based survey. Then, we carried out spatial analysis aimed at distinguishing and visualizing the different facets of sense of place developed by two participant groups: short-term residents and long-term residents. Results showed that while short-term residents reported bonds with places, long-term residents' senses of place were more intense and broader throughout the city. The correlations, associations, and relationships between participant groups and the dimensions of sense of place allowed us to observe features and patterns that were previously described in the literature, although adding the spatial lenses can potentially provide better insights for urban planning, community development, and inclusive policies.publishersversionpublishe

    Are Dead Wires Dangerous?

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    Quantization and holomorphic anomaly

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    We study wave functions of B-model on a Calabi-Yau threefold in various polarizations.Comment: 15 page

    Optimization of network structure to random failures

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    Network's resilience to the malfunction of its components has been of great concern. The goal of this work is to determine the network design guidelines, which maximizes the network efficiency while keeping the cost of the network (that is the average connectivity) constant. With a global optimization method, memory tabu search (MTS), we get the optimal network structure with the approximately best efficiency. We analyze the statistical characters of the network and find that a network with a small quantity of hub nodes, high degree of clustering may be much more resilient to perturbations than a random network and the optimal network is one kind of highly heterogeneous networks. The results strongly suggest that networks with higher efficiency are more robust to random failures. In addition, we propose a simple model to describe the statistical properties of the optimal network and investigate the synchronizability of this model.Comment: 11 pages, 6 figures, accepted by Physica
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