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Complexity Research in Nature Communications

  • Nature Communications | Article | open

    Cancer is caused by accumulating genetic mutations. Here, the authors investigate the cooperative effect of these mutations in colorectal cancer patients and identify a giant cluster of mutation-propagating modules that undergoes percolation transition during tumorigenesis.

    • Dongkwan Shin
    • , Jonghoon Lee
    • , Jeong-Ryeol Gong
    •  &  Kwang-Hyun Cho
  • Nature Communications | Article | open

    Complex networks can be used to model brain networks. Here the authors identify the essential nodes in a model of a brain network and then validate these predictions by means of in vivo pharmacogenetic interventions. They find that the nucleus accumbens is a central region for brain integration.

    • Gino Del Ferraro
    • , Andrea Moreno
    • , Byungjoon Min
    • , Flaviano Morone
    • , Úrsula Pérez-Ramírez
    • , Laura Pérez-Cervera
    • , Lucas C. Parra
    • , Andrei Holodny
    • , Santiago Canals
    •  &  Hernán A. Makse
  • Nature Communications | Article | open

    The structure and dynamics of microbial communities reflect trade-offs in the ability to use different resources. Here, Josephides and Swain incorporate metabolic trade-offs into an eco-evolutionary model to predict networks of mutational paths and the evolutionary outcomes for microbial communities.

    • Christos Josephides
    •  &  Peter S. Swain
  • Nature Communications | Article | open

    Complex networks are a useful tool to investigate spreading processes but topology alone is insufficient to predict information flow. Here the authors propose a measure of information flow and predict its behavior from the interplay between structure and dynamics.

    • Uzi Harush
    •  &  Baruch Barzel
  • Nature Communications | Article | open

    Complex networks are a useful tool to investigate the structure of cities and their street networks. Here the authors investigate the shape of travel routes in 92 cities and define a metric called inness which reveals connections between common urban features in cities with similar inness profiles.

    • Minjin Lee
    • , Hugo Barbosa
    • , Hyejin Youn
    • , Petter Holme
    •  &  Gourab Ghoshal
  • Nature Communications | Article | open

    Human brain development is characterized by an increased control of neural activity, but how this happens is not well understood. Here, authors show that white matter connectivity in 882 youth, aged 8-22, becomes increasingly specialized locally and is optimized for network control.

    • Evelyn Tang
    • , Chad Giusti
    • , Graham L. Baum
    • , Shi Gu
    • , Eli Pollock
    • , Ari E. Kahn
    • , David R. Roalf
    • , Tyler M. Moore
    • , Kosha Ruparel
    • , Ruben C. Gur
    • , Raquel E. Gur
    • , Theodore D. Satterthwaite
    •  &  Danielle S. Bassett
  • Nature Communications | Article | open

    Robust perfect adaptation (RPA), the ability of a system to return to its pre-stimulus state in the presence of a new signal, enables organisms to respond to further changes in stimuli. Here, the authors identify the modular structure of the full set of network topologies that can confer RPA on complex networks.

    • Robyn P. Araujo
    •  &  Lance A. Liotta
  • Nature Communications | Article | open

    Species interaction networks have been usually delimited by perceived habitat borders. Here, seed-dispersal is analyzed as a regional multilayer network of interconnected habitats, highlighting the key role of versatile dispersers for the functional cohesion of the whole Gorongosa landscape.

    • Sérgio Timóteo
    • , Marta Correia
    • , Susana Rodríguez-Echeverría
    • , Helena Freitas
    •  &  Ruben Heleno
  • Nature Communications | Article | open

    Mouse digit patterning is controlled by a Turing network of Bmp, Sox9, and Wnt. Here, Onimaru et al. show that fin patterning in the catshark, Scyliorhinus canicula, is controlled by the same network with a different spatial organization; thus, the Turing network is deeply conserved in limb development.

    • Koh Onimaru
    • , Luciano Marcon
    • , Marco Musy
    • , Mikiko Tanaka
    •  &  James Sharpe
  • Nature Communications | Article | open

    Understanding the dynamics of empirical food webs is of central importance for predicting the stability of ecological communities. Here Allesina et al. derive an approximation to accurately predict the stability of large food webs whose structure is built using the cascade model.

    • Stefano Allesina
    • , Jacopo Grilli
    • , György Barabás
    • , Si Tang
    • , Johnatan Aljadeff
    •  &  Amos Maritan
  • Nature Communications | Article | open

    Attempts to predict novel use for existing drugs rarely consider information on the impact on the genes perturbed in a given disease. Here, the authors present a novel network-based drug-disease proximity measure that provides insight on gene specific therapeutic effect of drugs and may facilitate drug repurposing.

    • Emre Guney
    • , Jörg Menche
    • , Marc Vidal
    •  &  Albert-László Barábasi
  • Nature Communications | Article | open

    The hippocampus is known to support navigation, but how it processes possible paths to aid navigation is unknown. Here Javadi et al. show that entering streets drives hippocampal activity corresponding to the number of future paths, and that prefrontal activity corresponds to path-planning demands.

    • Amir-Homayoun Javadi
    • , Beatrix Emo
    • , Lorelei R. Howard
    • , Fiona E. Zisch
    • , Yichao Yu
    • , Rebecca Knight
    • , Joao Pinelo Silva
    •  &  Hugo J. Spiers
  • Nature Communications | Article | open

    Proximity to criticality can be advantageous under changing conditions, but it also entails reduced robustness. Here, the authors analyse fight sizes in a macaque society and find not only that it sits near criticality, but also that the distance from the critical point is tunable through adjustment of individual behaviour and social conflict management.

    • Bryan C. Daniels
    • , David C. Krakauer
    •  &  Jessica C. Flack
  • Nature Communications | Article | open

    The spread of instabilities in financial systems, similarly to ecosystems, is influenced by topological features of the underlying network structures. Here the authors show, independently of specific financial models, that market integration and diversification can drive the system towards instability.

    • Marco Bardoscia
    • , Stefano Battiston
    • , Fabio Caccioli
    •  &  Guido Caldarelli
  • Nature Communications | Article | open

    It is believed that patterns of social ties are related to individuals’ financial status. Here the authors substantiate this concept by quantitatively demonstrating that a measure of an individual’s location and influence within their social network can be used to infer their economic wellness.

    • Shaojun Luo
    • , Flaviano Morone
    • , Carlos Sarraute
    • , Matías Travizano
    •  &  Hernán A. Makse
  • Nature Communications | Article | open

    Some argue that health-related behaviours, such as obesity, are contagious, but empirical evidence of health contagion remains inconclusive. Here, using a large scale quasi-experiment in a global network of runners, Aral and Nicolaides show that this type of contagion exists in fitness behaviours.

    • Sinan Aral
    •  &  Christos Nicolaides
  • Nature Communications | Article | open

    Complex networks have been conjectured to be hidden in metric spaces, which offer geometric interpretation of networks’ topologies. Here the authors extend this concept to weighted networks, providing empirical evidence on the metric natures of weights, which are shown to be reproducible by a gravity model.

    • Antoine Allard
    • , M. Ángeles Serrano
    • , Guillermo García-Pérez
    •  &  Marián Boguñá