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Small-world topology of functional connectivity in randomly connected dynamical systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F12%3A00380325" target="_blank" >RIV/67985807:_____/12:00380325 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1063/1.4732541" target="_blank" >http://dx.doi.org/10.1063/1.4732541</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1063/1.4732541" target="_blank" >10.1063/1.4732541</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Small-world topology of functional connectivity in randomly connected dynamical systems

  • Original language description

    Characterization of real-world complex systems increasingly involves the study of their topological structure using graph theory. Among global network properties, small-world property, consisting in existence of relatively short paths together with highclustering of the network, is one of the most discussed and studied. When dealing with coupled dynamical systems, links among units of the system are commonly quantified by a measure of pairwise statistical dependence of observed time series (functionalconnectivity). We argue that the functional connectivity approach leads to upwardly biased estimates of small-world characteristics (with respect to commonly used random graph models) due to partial transitivity of the accepted functional connectivity measures such as the correlation coefficient. In particular, this may lead to observation of small-world characteristics in connectivity graphs estimated from generic randomly connected dynamical systems. The ubiquity and robustness of the

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GCP103%2F11%2FJ068" target="_blank" >GCP103/11/J068: Interactions, information transfer and complex structures in the dynamics of changing climate</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2012

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Chaos

  • ISSN

    1054-1500

  • e-ISSN

  • Volume of the periodical

    22

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    7

  • Pages from-to

  • UT code for WoS article

    000309427500007

  • EID of the result in the Scopus database