M
Michele Bellingeri
Researcher at University of Parma
Publications - 53
Citations - 763
Michele Bellingeri is an academic researcher from University of Parma. The author has contributed to research in topics: Photonics & Photonic crystal. The author has an hindex of 13, co-authored 47 publications receiving 531 citations. Previous affiliations of Michele Bellingeri include Institut national de la recherche agronomique & Polytechnic University of Milan.
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Optical properties of periodic, quasi-periodic, and disordered one-dimensional photonic structures
Michele Bellingeri,Alessandro Chiasera,Ilka Kriegel,Francesco Scotognella,Francesco Scotognella +4 more
TL;DR: In this article, the authors introduce the concepts of periodicity, quasi-periodicity, and disorder in photonic crystals, focussing on the one-dimensional case, and report different types of disorder in 1D photonic structures and discuss their properties in terms of light transmission.
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Efficiency of attack strategies on complex model and real-world networks
TL;DR: It is found that the efficiency of attack strategies (fraction of nodes to be deleted for a given reduction of LCC size) depends on the topology of the network, although attacks based on either the number of connections of a node or betweenness centrality were often the most efficient strategies.
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Robustness of weighted networks
Michele Bellingeri,Davide Cassi +1 more
TL;DR: The results show that if the weighted structure of complex networks is not taken into account, this may produce misleading models to forecast the system response to node failure, i.e. consider binary links may not unveil the real damage induced in the system.
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Threshold extinction in food webs
TL;DR: This work considered that species can go extinct before the complete loss of their resources and introduced thresholds of minimum energy requirement for species survival, which suggests that the shape of the robustness–complexity relationship of a food web depends on the sensitivity of consumers to loss of prey.
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The heterogeneity in link weights may decrease the robustness of real-world complex weighted networks.
TL;DR: A comprehensive analysis of the robustness of seven high-quality real-world complex weighted networks to errors and attacks toward nodes and links to unveil a problematic response-state where the attack toward a small fraction of nodes-links returns the real- world complex networks in a connected but inefficient state.