Multilayer Network Science at Meripustak

Multilayer Network Science


  • Retail Price: ₹ 1984/- [ 3.00% off ]

    Seller Price: ₹ 1924

Sold By: T K Pandey      Click for Bulk Order

Offer 1: Get ₹ 111 extra discount on minimum ₹ 500 [Use Code: Bharat]

Offer 2: Get 3.00 % + Flat ₹ 100 discount on shopping of ₹ 1500 [Use Code: IND100]

Offer 3: Get 3.00 % + Flat ₹ 300 discount on shopping of ₹ 5000 [Use Code: MPSTK300]

Free Shipping (for orders above ₹ 499) *T&C apply.

In Stock

Free Shipping Available



Click for International Orders
  • Provide Fastest Delivery

  • 100% Original Guaranteed
  • General Information  
    Author(s)Oriol Artime and Barbara Benigni and Giulia Bertagnolli and Valeria D'Andrea and Riccardo Gallotti and Arsham Ghavasieh and Sebastian Raimondo and Manlio De Domenico
    PublisherCambridge University Press
    ISBN9781009087308
    Pages138
    BindingSoftcover
    LanguageEnglish
    Publish YearSeptember 2022

    Description

    Cambridge University Press Multilayer Network Science by Oriol Artime and Barbara Benigni and Giulia Bertagnolli and Valeria D'Andrea and Riccardo Gallotti and Arsham Ghavasieh and Sebastian Raimondo and Manlio De Domenico

    Networks are convenient mathematical models to represent the structure of complex systems, from cells to societies. In the last decade, multilayer network science – the branch of the field dealing with units interacting in multiple distinct ways, simultaneously – was demonstrated to be an effective modeling and analytical framework for a wide spectrum of empirical systems, from biopolymers networks (such as interactome and metabolomes) to neuronal networks (such as connectomes), from social networks to urban and transportation networks. In this Element, a decade after one of the most seminal papers on this topic, the authors review the most salient features of multilayer network science, covering both theoretical aspects and direct applications to real-world coupled/interdependent systems, from the point of view of multilayer structure, dynamics and function. The authors discuss potential frontiers for this topic and the corresponding challenges in the field for the next future.