Matches in SemOpenAlex for { <https://semopenalex.org/work/W2176118516> ?p ?o ?g. }
- W2176118516 endingPage "e0143015" @default.
- W2176118516 startingPage "e0143015" @default.
- W2176118516 abstract "Network based time series analysis has made considerable achievements in the recent years. By mapping mono/multivariate time series into networks, one can investigate both it's microscopic and macroscopic behaviors. However, most proposed approaches lead to the construction of static networks consequently providing limited information on evolutionary behaviors. In the present paper we propose a method called visibility graph based time series analysis, in which series segments are mapped to visibility graphs as being descriptions of the corresponding states and the successively occurring states are linked. This procedure converts a time series to a temporal network and at the same time a network of networks. Findings from empirical records for stock markets in USA (S&P500 and Nasdaq) and artificial series generated by means of fractional Gaussian motions show that the method can provide us rich information benefiting short-term and long-term predictions. Theoretically, we propose a method to investigate time series from the viewpoint of network of networks." @default.
- W2176118516 created "2016-06-24" @default.
- W2176118516 creator A5014976183 @default.
- W2176118516 creator A5033829704 @default.
- W2176118516 creator A5091102395 @default.
- W2176118516 date "2015-11-16" @default.
- W2176118516 modified "2023-10-01" @default.
- W2176118516 title "Visibility Graph Based Time Series Analysis" @default.
- W2176118516 cites W1671607941 @default.
- W2176118516 cites W1979170109 @default.
- W2176118516 cites W1980644660 @default.
- W2176118516 cites W1981510969 @default.
- W2176118516 cites W1985978480 @default.
- W2176118516 cites W1995666097 @default.
- W2176118516 cites W2006729539 @default.
- W2176118516 cites W2007504260 @default.
- W2176118516 cites W2008343951 @default.
- W2176118516 cites W2010461070 @default.
- W2176118516 cites W2010821195 @default.
- W2176118516 cites W2011919716 @default.
- W2176118516 cites W2016440518 @default.
- W2176118516 cites W2017177220 @default.
- W2176118516 cites W2023179835 @default.
- W2176118516 cites W2025763088 @default.
- W2176118516 cites W2031365860 @default.
- W2176118516 cites W2031523949 @default.
- W2176118516 cites W2033651243 @default.
- W2176118516 cites W2041781878 @default.
- W2176118516 cites W2049913068 @default.
- W2176118516 cites W2051981079 @default.
- W2176118516 cites W2055538060 @default.
- W2176118516 cites W2066834069 @default.
- W2176118516 cites W2067361139 @default.
- W2176118516 cites W2071436088 @default.
- W2176118516 cites W2071602085 @default.
- W2176118516 cites W2083632425 @default.
- W2176118516 cites W2092333870 @default.
- W2176118516 cites W2093446113 @default.
- W2176118516 cites W2105679011 @default.
- W2176118516 cites W2106373091 @default.
- W2176118516 cites W2109713924 @default.
- W2176118516 cites W2120968663 @default.
- W2176118516 cites W2139868036 @default.
- W2176118516 cites W2149527103 @default.
- W2176118516 cites W2153624566 @default.
- W2176118516 cites W2154201851 @default.
- W2176118516 cites W2154247034 @default.
- W2176118516 cites W2155402574 @default.
- W2176118516 cites W2158140512 @default.
- W2176118516 cites W2191442580 @default.
- W2176118516 cites W2212715834 @default.
- W2176118516 cites W2315804197 @default.
- W2176118516 cites W2317121763 @default.
- W2176118516 cites W2963768879 @default.
- W2176118516 cites W3037819556 @default.
- W2176118516 cites W3099377354 @default.
- W2176118516 cites W3103278805 @default.
- W2176118516 doi "https://doi.org/10.1371/journal.pone.0143015" @default.
- W2176118516 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4646626" @default.
- W2176118516 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/26571115" @default.
- W2176118516 hasPublicationYear "2015" @default.
- W2176118516 type Work @default.
- W2176118516 sameAs 2176118516 @default.
- W2176118516 citedByCount "78" @default.
- W2176118516 countsByYear W21761185162016 @default.
- W2176118516 countsByYear W21761185162017 @default.
- W2176118516 countsByYear W21761185162018 @default.
- W2176118516 countsByYear W21761185162019 @default.
- W2176118516 countsByYear W21761185162020 @default.
- W2176118516 countsByYear W21761185162021 @default.
- W2176118516 countsByYear W21761185162022 @default.
- W2176118516 countsByYear W21761185162023 @default.
- W2176118516 crossrefType "journal-article" @default.
- W2176118516 hasAuthorship W2176118516A5014976183 @default.
- W2176118516 hasAuthorship W2176118516A5033829704 @default.
- W2176118516 hasAuthorship W2176118516A5091102395 @default.
- W2176118516 hasBestOaLocation W21761185161 @default.
- W2176118516 hasConcept C112680207 @default.
- W2176118516 hasConcept C119857082 @default.
- W2176118516 hasConcept C121332964 @default.
- W2176118516 hasConcept C123403432 @default.
- W2176118516 hasConcept C124101348 @default.
- W2176118516 hasConcept C132525143 @default.
- W2176118516 hasConcept C136764020 @default.
- W2176118516 hasConcept C143724316 @default.
- W2176118516 hasConcept C151406439 @default.
- W2176118516 hasConcept C151730666 @default.
- W2176118516 hasConcept C153294291 @default.
- W2176118516 hasConcept C154945302 @default.
- W2176118516 hasConcept C173362246 @default.
- W2176118516 hasConcept C205649164 @default.
- W2176118516 hasConcept C2524010 @default.
- W2176118516 hasConcept C32946077 @default.
- W2176118516 hasConcept C33923547 @default.
- W2176118516 hasConcept C34947359 @default.
- W2176118516 hasConcept C41008148 @default.
- W2176118516 hasConcept C61797465 @default.
- W2176118516 hasConcept C62520636 @default.