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Showing 1–6 of 6 results
Advanced filters: Author: Nima Dehmamy Clear advanced filters

  • A modelling framework is presented to determine the optimal layout and physical properties of networks in which the nodes and links have physical sizes and intersections between components is prohibited.

    • Nima Dehmamy
    • Soodabeh Milanlouei
    • Albert-László Barabási
    Research
    Nature
    Volume: 563, P: 676-680

  • Despite their ubiquitous nature across a wide range of creative domains, it remains unclear if there is any regularity underlying the beginning of successful periods in a career. Here, the authors develop computational methods to trace the career outputs of artists, film directors, and scientists and explore how they move in their creative space along their career trajectory.

    • Lu Liu
    • Nima Dehmamy
    • Dashun Wang
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-10

  • Visualization of large complex networks is challenging with limitations for the network size and depicting specific structures. The authors propose a Graph Neural Network based algorithm with improved speed and the quality of graph layouts, which allows for fast and informative visualization of large networks.

    • Csaba Both
    • Nima Dehmamy
    • Albert-László Barabási
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-9

  • Recently, a framework was introduced to model three-dimensional physical networks, such as brain or vascular ones, in a way that does not allow link crossings. Here the authors combine concepts from knot theory and statistical mechanics to be able to distinguish between physical networks with identical wiring but different layouts.

    • Yanchen Liu
    • Nima Dehmamy
    • Albert-László Barabási
    Research
    Nature Physics
    Volume: 17, P: 216-222