Literature DB >> 25615155

Influence of autocorrelation on the topology of the climate network.

Oded C Guez1, Avi Gozolchiani2, Shlomo Havlin1.   

Abstract

Different definitions of links in climate networks may lead to considerably different network topologies. We construct a network from climate records of surface level atmospheric temperature in different geographical sites around the globe using two commonly used definitions of links. Utilizing detrended fluctuation analysis, shuffled surrogates, and separation analysis of maritime and continental records, we find that one of the major influences on the structure of climate networks is due to the autocorrelation in the records, which may introduce spurious links. This may explain why different methods could lead to different climate network topologies.

Year:  2014        PMID: 25615155     DOI: 10.1103/PhysRevE.90.062814

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  6 in total

1.  Effects of random rewiring on the degree correlation of scale-free networks.

Authors:  Jing Qu; Sheng-Jun Wang; Marko Jusup; Zhen Wang
Journal:  Sci Rep       Date:  2015-10-20       Impact factor: 4.379

2.  Transition to reconstructibility in weakly coupled networks.

Authors:  Benedict J Lünsmann; Christoph Kirst; Marc Timme
Journal:  PLoS One       Date:  2017-10-20       Impact factor: 3.240

3.  General Component Analysis (GCA): A new approach to identify Chinese corporate bond market structures.

Authors:  Lei Wang; Yan Yan; Xiaoteng Li; Xiaosong Chen
Journal:  PLoS One       Date:  2018-07-09       Impact factor: 3.240

4.  Correlation networks of air particulate matter ( PM 2.5 ): a comparative study.

Authors:  Dimitrios M Vlachogiannis; Yanyan Xu; Ling Jin; Marta C González
Journal:  Appl Netw Sci       Date:  2021-04-23

5.  Network approach reveals the spatiotemporal influence of traffic on air pollution under COVID-19.

Authors:  Weiping Wang; Saini Yang; Kai Yin; Zhidan Zhao; Na Ying; Jingfang Fan
Journal:  Chaos       Date:  2022-04       Impact factor: 3.741

6.  Percolation Phase Transition of Surface Air Temperature Networks under Attacks of El Niño/La Niña.

Authors:  Zhenghui Lu; Naiming Yuan; Zuntao Fu
Journal:  Sci Rep       Date:  2016-05-26       Impact factor: 4.379

  6 in total

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