[1]

Zhang J., Small M., Complex network from pseudoperiodic time series: Topology versus dynamics, Phys. Rev. Lett., 2006, 96, 238701 CrossrefGoogle Scholar

[2]

Lacasa L., Luque B., Ballesteros F., Luque J., Nuno J.C., From time series to complex networks: The visibility graph, P. Natl. Acad. Sci. USA., 2008, 105, 4972-4975. CrossrefGoogle Scholar

[3]

Luque B., Lacasa L., Ballesteros F., Luque J., Horizontal visibility graphs: Exact results for random time series, Phys. Rev. E, 2009, 80, 046103. CrossrefWeb of ScienceGoogle Scholar

[4]

Bezsudnov I.V., Snarskii A.A., From the time series to the complex networks: The parametric natural visibility graph, Physica A, 2014, 414, 53-60. Web of ScienceCrossrefGoogle Scholar

[5]

Zhou T.-T., Tin N.-D., Gao Z.-K., Luo Y.-B., Limited penetrable visibility graph for establishing complex network from time series, Acta Phys. Sin.-Ch. Ed., 2012, 61, 030506 Google Scholar

[6]

Gao Z.-K., Cai Q., Yang Y.-X., Dang W.-D., Zhang S.-S., Multiscale limited penetrable horizontal visibility graph for analyzing nonlinear time series, Sci. Rep.-Uk., 2016, 6, 35622 Web of ScienceCrossrefGoogle Scholar

[7]

Gao Z., Jin N., Complex network from time series based on phase space reconstruction, Chaos, 2009, 19, 033137 CrossrefWeb of ScienceGoogle Scholar

[8]

Donner R.V., Zou Y., Donges J.F., Marwan N., Kurths J., Ambiguities in recurrence-based complex network representations of time series, Phys Rev E, 2010, 81, 015101 CrossrefWeb of ScienceGoogle Scholar

[9]

Wang M., Tian L., From time series to complex networks: The phase space coarse graining, Physica A, 2016, 461, 456-468. Web of ScienceCrossrefGoogle Scholar

[10]

Feng C., He B., Construction of complex networks from time series based on the cross correlation interval, Open Phys., 2017, 15, 253-260. CrossrefWeb of ScienceGoogle Scholar

[11]

Zou Y., Donner R.V., Thiel M., Kurths J., Disentangling regular and chaotic motion in the standard map using complex network analysis of recurrences in phase space, Chaos, 2016, 26, 023120 Web of ScienceCrossrefGoogle Scholar

[12]

Xu X.K., Zhang J., Small M., Superfamily phenomena and motifs of networks induced from time series, P. Natl. Acad. Sci. USA., 2008, 105, 19601-19605. CrossrefGoogle Scholar

[13]

Gao Z.K., Fang P.C., Ding M.S., Jin N.D., Multivariate weighted complex network analysis for characterizing nonlinear dynamic behavior in two-phase flow, Exp. Therm. Fluid. Sci., 2015, 60, 157-164. CrossrefWeb of ScienceGoogle Scholar

[14]

Lacasa L., Nicosia V., Latora V., Network structure of multivariate time series, Sci. Rep.-UK, 2015, 5, 15508 Web of ScienceCrossrefGoogle Scholar

[15]

Zhang J., Zhou J., Tang M., Guo H., Small M., Zou Y., Constructing ordinal partition transition networks from multivariate time series, Sci. Rep.-UK, 2017, 7, 7795 Web of ScienceCrossrefGoogle Scholar

[16]

Gao Z.K., Li S., Dang W.D., Yang Y.X., Do Y., Grebogi C., Wavelet Multiresolution Complex Network for Analyzing Multivariate Nonlinear Time Series, Int. J. Bifurcat. Chaos, 2017, 27, 1750123 CrossrefWeb of ScienceGoogle Scholar

[17]

Gao Z.-K., Zhang S.-S., Dang W.-D., Li S., Cai Q., Multilayer Network from Multivariate Time Series for Characterizing Nonlinear Flow Behavior, Int. J. Bifurcat. Chaos 2017, 27, 1750059 CrossrefWeb of ScienceGoogle Scholar

[18]

Marwan N., Donges J.F., Zou Y., Donner R.V., Kurths J., Complex network approach for recurrence analysis of time series, Phys. Lett. A, 2009, 373, 4246-4254. CrossrefWeb of ScienceGoogle Scholar

[19]

Scarsoglio S., Cazzato F., Ridolfi L., From time-series to complex networks: Application to the cerebrovascular flow patterns in atrial fibrillation, Chaos, 2017, 27, 093107 Web of ScienceCrossrefGoogle Scholar

[20]

Wang M.G., Tian L.X., Du R.J., Research on the interaction patterns among the global crude oil import dependency countries: A complex network approach, Appl. Energ., 2016, 180, 779-791. Web of ScienceCrossrefGoogle Scholar

[21]

Zhang Z., Wang M., Tian L., Zhang W., Research on the development efficiency of regional high-end talent in China: A complex network approach, Plos One, 2017, 12, e0188816 Web of ScienceCrossrefGoogle Scholar

[22]

Erdos P., Have oil and gas prices got separated?, Energ. Policy, 2012, 49, 707-718. CrossrefWeb of ScienceGoogle Scholar

[23]

Lahiani A., Miloudi A., Benkraiem R., Shahbaz M., Another look on the relationships between oil prices and energy prices, Energ. Policy, 2017, 102, 318-331. Web of ScienceCrossrefGoogle Scholar

[24]

Mohammadi H., Long-run relations and short-run dynamics among coal, natural gas and oil prices, Appl. Econ., 2011, 43, 129-137. Web of ScienceCrossrefGoogle Scholar

[25]

Aminikhanghahi S., Cook D.J., A survey of methods for time series change point detection, Knowl. Inf. Syst., 2017, 51, 339-367. Web of ScienceCrossrefGoogle Scholar

[26]

Chen B., Hong Y., Detecting for smooth structural changes in GARCH models. Economet Theor, 2016, 32, 740-791. Web of ScienceCrossrefGoogle Scholar

[27]

Doerr B., Fischer P., Hilbert A., Witt C., Detecting structural breaks in time series via genetic algorithms, Soft Comput., 2017, 21, 4707-4720. CrossrefWeb of ScienceGoogle Scholar

[28]

Gao X., Fang W., An F., Wang Y., Detecting method for crude oil price fluctuation mechanism under different periodic time series, Appl. Energ., 2017, 192, 201-212. Web of ScienceCrossrefGoogle Scholar

[29]

An H., Gao X., Fang W., Huang X., Ding Y., The role of fluctuating modes of autocorrelation in crude oil prices, Physica A, 2014, 393, 382-390. CrossrefWeb of ScienceGoogle Scholar

[30]

An H.Z., Gao X.Y., Fang W., Ding Y.H., Zhong W.Q., Research on patterns in the fluctuation of the co-movement between crude oil futures and spot prices: A complex network approach, Appl. Energ., 2014, 136, 1067-1075. Web of ScienceCrossrefGoogle Scholar

[31]

Gao X.Y., An H.Z., Fang W., Huang X., Li H.J., Zhong W.Q. et al., Transmission of linear regression patterns between time series: From relationship in time series to complex networks, Phys. Rev. E, 2014, 90, 012818 Web of ScienceCrossrefGoogle Scholar

[32]

Wang M.G., Chen Y., Tian L.X., Jiang S.M., Tian Z.H., Du R.J., Fluctuation behavior analysis of international crude oil and gasoline price based on complex network perspective, Appl. Energ., 2016, 175, 109-127. Web of ScienceCrossrefGoogle Scholar

[33]

Blondel V.D., Guillaume J.-L., Lambiotte R., Lefebvre E., Fast unfolding of communities in large networks, J. Stat. Mech.-Theory E, 2008, P10008 Google Scholar

## Comments (0)

General note:By using the comment function on degruyter.com you agree to our Privacy Statement. A respectful treatment of one another is important to us. Therefore we would like to draw your attention to our House Rules.