Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
  1. Home
  2. Search

Refine search

Refine search

Access:
Content type:
Publication date:
Apply
Subject: Show more
Journals Show more
Publishers: Show more
Societies Show more
Series: Show more
Collections: Show more

Actions for selected content:

Select all | Deselect all
  • View selected items
  • Export citations
  • Download PDF (zip)
  • Save to Kindle
  • Save to Dropbox
  • Save to Google Drive

Save Search

You can save your searches here and later view and run them again in "My saved searches".

Please provide a title, maximum of 40 characters.
Cancel
×

15 results

Higher-Order Networks
  • Higher-Order Networks
  • Ginestra Bianconi
  • Published online: 23 November 2021
  • Print publication: 23 December 2021
  • View abstract
    Higher-order networks describe the many-body interactions of a large variety of complex systems, ranging from the the brain to collaboration networks. Simplicial complexes are generalized network structures which allow us to capture the combinatorial properties, the topology and the geometry of higher-order networks. Having been used extensively in quantum gravity to describe discrete or discretized space-time, simplicial complexes have only recently started becoming the representation of choice for capturing the underlying network topology and geometry of complex systems. This Element provides an in-depth introduction to the very hot topic of network theory, covering a wide range of subjects ranging from emergent hyperbolic geometry and topological data analysis to higher-order dynamics. This Elements aims to demonstrate that simplicial complexes provide a very general mathematical framework to reveal how higher-order dynamics depends on simplicial network topology and geometry.
Networks of Networks in Biology
  • Networks of Networks in Biology
  • Concepts, Tools and Applications
  • Edited by Narsis A. Kiani, David Gomez-Cabrero, Ginestra Bianconi
  • Published online: 24 February 2021
  • Print publication: 01 April 2021
  • View description
    Biological systems are extremely complex and have emergent properties that cannot be explained or even predicted by studying their individual parts in isolation. The reductionist approach, although successful in the early days of molecular biology, underestimates this complexity. As the amount of available data grows, so it will become increasingly important to be able to analyse and integrate these large data sets. This book introduces novel approaches and solutions to the Big Data problem in biomedicine, and presents new techniques in the field of graph theory for handling and processing multi-type large data sets. By discussing cutting-edge problems and techniques, researchers from a wide range of fields will be able to gain insights for exploiting big heterogonous data in the life sciences through the concept of 'network of networks'.
  • Network analysis and modelling: Special issue of European Journal of Applied Mathematics
  • MASON A. PORTER, GINESTRA BIANCONI
  • Journal: European Journal of Applied Mathematics / Volume 27 / Issue 6 / December 2016
  • Published online by Cambridge University Press: 02 November 2016, pp. 807-811
    • Article
      • You have access
    • PDF
    • Export citation
  • View extract

    This special issue of the European Journal of Applied Mathematics features research articles on networks, one of the most exciting areas of applied mathematics.