Nature Communications

  title={Nature Communications},
  author={Itor Ial},
  journal={Nature Cell Biology},
  • Itor Ial
  • Published 2010
  • Education
  • Nature Cell Biology
Peer review, at its best, should aim to provide authors and editors with rigorous and constructive feedback resulting in an improved study. This system, like any, has its deficiencies and finding productive ways to improve it is important. For example, authors are often frustrated by a seemingly opaque process, and providing more transparency into how papers are selected for publication is a goal for this journal. To this end, Nature Cell Biology editors give talks at conferences and research… 

Evaluating the impact of interdisciplinary research: A multilayer network approach

This work proposes a method based on the analysis of bipartite interconnected multilayer networks of citations and disciplines, to assess scholars, institutions, and countries interdisciplinary importance, and shows that it allows to reward scholars and institutions that have carried out interdisciplinary work and have had an impact in different scientific areas.

Microbes can help explain the evolution of host altruism

Using computational models, it is found that microbe-induced altruism can explain the evolution of host altruistic behaviour under wider conditions than host-centred theories, including in a fully mixed host population, without repeating interactions or individual recognition.

Leveraging percolation theory to single out influential spreaders in networks

It is proved that the recently introduced nonbacktracking centrality is the optimal criterion for the identification of influential spreaders in locally tree-like networks at criticality and is a highly reliable metric to identify top influential spreader also in generic graphs not embedded in space and for noncritical spreading.

The new challenges of multiplex networks: Measures and models

A quite comprehensive introduction to the most basic tools for the analysis of multiplex networks observed in the real-world, and a selection of models aiming at reproducing those structural properties and quantifying their statistical significance.

Social evolution in structured populations

A model is derived that captures general conditions for the evolution of social behaviour, which reveals the critical role of the scale of competition, and highlights the crucial importance of identifying the relative scale at which competition occurs.

A Biologically Inspired Model of Distributed Online Communication Supporting Efficient Search and Diffusion of Innovation

This work argues that organization into communities would decrease overall decentralized search times, and introduces the notion of a community size that increases with the size of the system, which is shown to reduce the time to search for information in networks.

Evolution and emergence of infectious diseases in theoretical and real-world networks

It is shown that the heterogeneity in contact structure, which facilitates the spread of a single disease, surprisingly renders a resident strain more resilient to invasion by new variants, and that heterogeneous contact networks lower the fixation probability of newly arising pathogen strains.

Quality versus quantity of social ties in experimental cooperative networks

There is a ‘Goldilocks’ effect of network dynamism on cooperation when the rate of change in social ties is too low, subjects choose to have many ties, even if they attach to defectors, and when the rates are too high, subjects resort to behavioural reciprocity and switch their behaviour to defection.

Dear Readers, Position Paper on Nanophotonics and Nanophononics

NanoICT position papers aim to be a valid source of guidance for the semiconductor industry (roadmapping), providing the latest developments in the fi eld of emerging nanoelectronic devices that

The many facets of community detection in complex networks

A focused review of the different motivations that underpin community detection and highlights the different facets of community detection, which delineates the many lines of research and points out open directions and avenues for future research.