Search Results - "Mariani, Manuel Sebastian"

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  1. 1

    Nestedness in complex networks: Observation, emergence, and implications by Mariani, Manuel Sebastian, Ren, Zhuo-Ming, Bascompte, Jordi, Tessone, Claudio Juan

    Published in Physics reports (15-06-2019)
    “…The observed architecture of ecological and socio-economic networks differssignificantly from that of random networks. From a network science standpoint,…”
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  2. 2

    Measuring economic complexity of countries and products: which metric to use? by Mariani, Manuel Sebastian, Vidmer, Alexandre, Medo, Matsúš, Zhang, Yi-Cheng

    “…Evaluating the economies of countries and their relations with products in the global market is a central problem in economics, with far-reaching implications…”
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  3. 3
  4. 4

    Forecasting national CO2 emissions worldwide by Costantini, Lorenzo, Laio, Francesco, Mariani, Manuel Sebastian, Ridolfi, Luca, Sciarra, Carla

    Published in Scientific reports (28-09-2024)
    “…Urgent climate action, especially carbon emissions reduction, is required to achieve sustainable goals. Therefore, understanding the drivers of and predicting…”
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  5. 5

    Ranking nodes in growing networks: When PageRank fails by Mariani, Manuel Sebastian, Medo, Matúš, Zhang, Yi-Cheng

    Published in Scientific reports (10-11-2015)
    “…PageRank is arguably the most popular ranking algorithm which is being applied in real systems ranging from information to biological and infrastructure…”
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  6. 6

    Calorimetric glass transition in a mean-field theory approach by Mariani, Manuel Sebastian, Parisi, Giorgio, Rainone, Corrado

    “…The study of the properties of glass-forming liquids is difficult for many reasons. Analytic solutions of mean-field models are usually available only for…”
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  7. 7

    Ranking species in complex ecosystems through nestedness maximization by Mariani, Manuel Sebastian, Mazzilli, Dario, Patelli, Aurelio, Sels, Dries, Morone, Flaviano

    Published in Communications physics (21-03-2024)
    “…Identifying the rank of species in a complex ecosystem is a difficult task, since the rank of each species invariably depends on the interactions stipulated…”
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  8. 8

    Link Prediction in Bipartite Nested Networks by Medo, Matúš, Mariani, Manuel, Lü, Linyuan

    Published in Entropy (Basel, Switzerland) (10-10-2018)
    “…Real networks typically studied in various research fields—ecology and economic complexity, for example—often exhibit a nested topology, which means that the…”
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  9. 9

    Nestedness Maximization in Complex Networks through the Fitness-Complexity Algorithm by Lin, Jian-Hong, Tessone, Claudio Juan, Mariani, Manuel Sebastian

    Published in Entropy (Basel, Switzerland) (08-10-2018)
    “…Nestedness refers to the structural property of complex networks that the neighborhood of a given node is a subset of the neighborhoods of better-connected…”
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  10. 10

    Fast influencers in complex networks by Zhou, Fang, Lü, Linyuan, Mariani, Manuel Sebastian

    “…•We consider the problem of maximizing the reach of a spreading process in a finite amount of time.•We define the fast influencers as those nodes that can…”
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  11. 11

    Ranking in evolving complex networks by Liao, Hao, Mariani, Manuel Sebastian, Medo, Matúš, Zhang, Yi-Cheng, Zhou, Ming-Yang

    Published in Physics reports (19-05-2017)
    “…Complex networks have emerged as a simple yet powerful framework to represent and analyze a wide range of complex systems. The problem of ranking the nodes and…”
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  12. 12

    Algorithmic bias amplification via temporal effects: The case of PageRank in evolving networks by Cui, Mengtian, Mariani, Manuel Sebastian, Medo, Matúš

    “…Biases impair the effectiveness of algorithms. For example, the age bias of the widely-used PageRank algorithm impairs its ability to effectively rank nodes in…”
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  13. 13

    Early identification of important patents: Design and validation of citation network metrics by Mariani, Manuel Sebastian, Medo, Matúš, Lafond, François

    Published in Technological forecasting & social change (01-09-2019)
    “…One of the most challenging problems in technological forecasting is to identify as early as possible those technologies that have the potential to lead to…”
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  14. 14

    Recommending investors for new startups by integrating network diffusion and investors’ domain preference by Xu, Shuqi, Zhang, Qianming, Lü, Linyuan, Mariani, Manuel Sebastian

    Published in Information sciences (01-04-2020)
    “…•We show that network-based recommendation methods are effective tools to recommend prospective investors for new startups.•Investors exhibit strong investment…”
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  15. 15

    Forecasting countries' gross domestic product from patent data by Ye, Yucheng, Xu, Shuqi, Mariani, Manuel Sebastian, Lü, Linyuan

    Published in Chaos, solitons and fractals (01-07-2022)
    “…Recent strides in economic complexity have shown that the future economic development of nations can be predicted with a single “economic fitness” variable,…”
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  16. 16

    Citations or dollars? Early signals of a firm’s research success by Xu, Shuqi, Mariani, Manuel Sebastian, Lü, Linyuan, Napolitano, Lorenzo, Pugliese, Emanuele, Zaccaria, Andrea

    Published in Technological forecasting & social change (01-04-2024)
    “…Scientific and technological progress is largely driven by firms in many domains, including artificial intelligence and vaccine development. The early…”
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  17. 17

    The long-term impact of ranking algorithms in growing networks by Zhang, Shilun, Medo, Matúš, Lü, Linyuan, Mariani, Manuel Sebastian

    Published in Information sciences (01-07-2019)
    “…•Growing network models allow us to assess the long-term impact of ranking algorithms.•We introduce a growing network model where each node is endowed with a…”
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  18. 18

    Identification of milestone papers through time-balanced network centrality by Mariani, Manuel Sebastian, Medo, Matúš, Zhang, Yi-Cheng

    Published in Journal of informetrics (01-11-2016)
    “…•We analyze the citation network of APS papers (1893–2009).•We study how well different metrics identify the PRL Milestone Letters.•Citation count and PageRank…”
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  19. 19

    Unbiased evaluation of ranking metrics reveals consistent performance in science and technology citation data by Xu, Shuqi, Mariani, Manuel Sebastian, Lü, Linyuan, Medo, Matúš

    Published in Journal of informetrics (01-02-2020)
    “…•We compare the ranking performance of 17 metrics in three distinct citation datasets.•We use expert-selected items (e.g., seminal papers) to assess the…”
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  20. 20

    Quantifying and suppressing ranking bias in a large citation network by Vaccario, Giacomo, Medo, Matúš, Wider, Nicolas, Mariani, Manuel Sebastian

    Published in Journal of informetrics (01-08-2017)
    “…•We analyze a large citation network from Microsoft Academic Graph (18193082 papers).•We introduce a new statistical framework to quantify ranking bias by age…”
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