Literature DB >> 29170233

The fundamental advantages of temporal networks.

A Li1,2, S P Cornelius1,3, Y-Y Liu3,4, L Wang5, A-L Barabási6,4,7,8.   

Abstract

Most networked systems of scientific interest are characterized by temporal links, meaning the network's structure changes over time. Link temporality has been shown to hinder many dynamical processes, from information spreading to accessibility, by disrupting network paths. Considering the ubiquity of temporal networks in nature, we ask: Are there any advantages of the networks' temporality? We use an analytical framework to show that temporal networks can, compared to their static counterparts, reach controllability faster, demand orders of magnitude less control energy, and have control trajectories, that are considerably more compact than those characterizing static networks. Thus, temporality ensures a degree of flexibility that would be unattainable in static networks, enhancing our ability to control them.
Copyright © 2017, American Association for the Advancement of Science.

Mesh:

Year:  2017        PMID: 29170233     DOI: 10.1126/science.aai7488

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  30 in total

1.  Warnings and caveats in brain controllability.

Authors:  Chengyi Tu; Rodrigo P Rocha; Maurizio Corbetta; Sandro Zampieri; Marco Zorzi; S Suweis
Journal:  Neuroimage       Date:  2018-04-12       Impact factor: 6.556

2.  Spatial reciprocity in the evolution of cooperation.

Authors:  Qi Su; Aming Li; Long Wang; H Eugene Stanley
Journal:  Proc Biol Sci       Date:  2019-04-10       Impact factor: 5.349

3.  Theta/delta coupling across cortical laminae contributes to semantic cognition.

Authors:  Natalie E Adams; Catarina Teige; Giovanna Mollo; Theodoros Karapanagiotidis; Piers L Cornelissen; Jonathan Smallwood; Roger D Traub; Elizabeth Jefferies; Miles A Whittington
Journal:  J Neurophysiol       Date:  2019-01-30       Impact factor: 2.714

4.  Temporal exponential random graph models of longitudinal brain networks after stroke.

Authors:  Catalina Obando; Charlotte Rosso; Joshua Siegel; Maurizio Corbetta; Fabrizio De Vico Fallani
Journal:  J R Soc Interface       Date:  2022-03-02       Impact factor: 4.118

5.  A practical guide to methodological considerations in the controllability of structural brain networks.

Authors:  Teresa M Karrer; Jason Z Kim; Jennifer Stiso; Ari E Kahn; Fabio Pasqualetti; Ute Habel; Danielle S Bassett
Journal:  J Neural Eng       Date:  2020-04-09       Impact factor: 5.379

6.  Evolution of joint cooperation under phenotypic variations.

Authors:  Te Wu; Long Wang; Joseph Lee
Journal:  Sci Rep       Date:  2018-03-07       Impact factor: 4.379

7.  Asymmetric migration decreases stability but increases resilience in a heterogeneous metapopulation.

Authors:  Anurag Limdi; Alfonso Pérez-Escudero; Aming Li; Jeff Gore
Journal:  Nat Commun       Date:  2018-07-30       Impact factor: 14.919

Review 8.  Caenorhabditis elegans and the network control framework-FAQs.

Authors:  Emma K Towlson; Petra E Vértes; Gang Yan; Yee Lian Chew; Denise S Walker; William R Schafer; Albert-László Barabási
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-09-10       Impact factor: 6.237

9.  Systematic Complex Haploinsufficiency-Based Genetic Analysis of Candida albicans Transcription Factors: Tools and Applications to Virulence-Associated Phenotypes.

Authors:  Virginia E Glazier; Thomas Murante; Kristy Koselny; Daniel Murante; Marisol Esqueda; Gina A Wall; Melanie Wellington; Chiung-Yu Hung; Anuj Kumar; Damian J Krysan
Journal:  G3 (Bethesda)       Date:  2018-03-28       Impact factor: 3.154

Review 10.  Rewiring the connectome: Evidence and effects.

Authors:  Sophie H Bennett; Alastair J Kirby; Gerald T Finnerty
Journal:  Neurosci Biobehav Rev       Date:  2018-03-11       Impact factor: 8.989

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