Matches in SemOpenAlex for { <https://semopenalex.org/work/W2959289744> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W2959289744 endingPage "290" @default.
- W2959289744 startingPage "283" @default.
- W2959289744 abstract "Fractional Grey Lotka-Volterra Model with variable order is introduced and used for modeling the transaction counts of three cryptocurrencies namely Bitcoin, Litecoin and Ripple. Bitcoin and Litecoin then both three cryptocurrencies transaction counts are modeled in 2 and 3-dimensional framework respectively. Dataset include transaction counts of cryptocurrencies of interest. The 2-dimensional model uses Bitcoin and Litecoin transactions from April, 28, 2013 to February, 10, 2018. The 3-dimensional model uses transactions from August, 7, 2013 to February, 10, 2018. The actual values and the model values of n-dimensional model n={2,3} are displayed. The Mean Absolute Percentage Error (MAPE) suggests a high accuracy of the 3-dimensional Variable-order Fractional Lotka-Volterra model (VFGLVM) for the overall model values of Bitcoin and a reasonable accuracy for both model values of Litecoin and Ripple. The 2-dimensional VFGLVM has a good accuracy for the overall forecasting values of Bitcoin and a reasonable accuracy for the forecasting values of Litecoin. By analysing values of Lyapunov exponents and patterns of the corresponding Lotka-Volterra models, the 2 and 3-dimensional models show a chaotic behavior. Forecasting values indicate a future slight linear increase in transacting Bitcoin and a future decreasing transaction of Litecoin and Ripple. Bitcoin will keep relatively higher transaction counts and Litecoin transaction counts will be everywhere higher than that of Ripple." @default.
- W2959289744 created "2019-07-23" @default.
- W2959289744 creator A5014051889 @default.
- W2959289744 creator A5057834001 @default.
- W2959289744 date "2019-10-01" @default.
- W2959289744 modified "2023-10-18" @default.
- W2959289744 title "Modeling cryptocurrencies transaction counts using variable-order Fractional Grey Lotka-Volterra dynamical system" @default.
- W2959289744 cites W1978986380 @default.
- W2959289744 cites W1981927413 @default.
- W2959289744 cites W1995713075 @default.
- W2959289744 cites W2029624237 @default.
- W2959289744 cites W2057056717 @default.
- W2959289744 cites W2067552154 @default.
- W2959289744 cites W2071208757 @default.
- W2959289744 cites W2087120645 @default.
- W2959289744 cites W2137815344 @default.
- W2959289744 cites W2275656173 @default.
- W2959289744 cites W2420754666 @default.
- W2959289744 cites W2523675164 @default.
- W2959289744 cites W2588877447 @default.
- W2959289744 cites W2601425502 @default.
- W2959289744 cites W2771634040 @default.
- W2959289744 cites W2800088707 @default.
- W2959289744 cites W2804529211 @default.
- W2959289744 cites W2809568649 @default.
- W2959289744 cites W2889332605 @default.
- W2959289744 cites W2893899864 @default.
- W2959289744 cites W2924557282 @default.
- W2959289744 cites W2942891028 @default.
- W2959289744 cites W2948949658 @default.
- W2959289744 cites W2966592760 @default.
- W2959289744 cites W3124213505 @default.
- W2959289744 doi "https://doi.org/10.1016/j.chaos.2019.07.003" @default.
- W2959289744 hasPublicationYear "2019" @default.
- W2959289744 type Work @default.
- W2959289744 sameAs 2959289744 @default.
- W2959289744 citedByCount "25" @default.
- W2959289744 countsByYear W29592897442019 @default.
- W2959289744 countsByYear W29592897442020 @default.
- W2959289744 countsByYear W29592897442021 @default.
- W2959289744 countsByYear W29592897442022 @default.
- W2959289744 countsByYear W29592897442023 @default.
- W2959289744 crossrefType "journal-article" @default.
- W2959289744 hasAuthorship W2959289744A5014051889 @default.
- W2959289744 hasAuthorship W2959289744A5057834001 @default.
- W2959289744 hasConcept C10138342 @default.
- W2959289744 hasConcept C105795698 @default.
- W2959289744 hasConcept C134306372 @default.
- W2959289744 hasConcept C149782125 @default.
- W2959289744 hasConcept C162324750 @default.
- W2959289744 hasConcept C180706569 @default.
- W2959289744 hasConcept C182306322 @default.
- W2959289744 hasConcept C182365436 @default.
- W2959289744 hasConcept C199360897 @default.
- W2959289744 hasConcept C33923547 @default.
- W2959289744 hasConcept C38652104 @default.
- W2959289744 hasConcept C41008148 @default.
- W2959289744 hasConcept C75949130 @default.
- W2959289744 hasConceptScore W2959289744C10138342 @default.
- W2959289744 hasConceptScore W2959289744C105795698 @default.
- W2959289744 hasConceptScore W2959289744C134306372 @default.
- W2959289744 hasConceptScore W2959289744C149782125 @default.
- W2959289744 hasConceptScore W2959289744C162324750 @default.
- W2959289744 hasConceptScore W2959289744C180706569 @default.
- W2959289744 hasConceptScore W2959289744C182306322 @default.
- W2959289744 hasConceptScore W2959289744C182365436 @default.
- W2959289744 hasConceptScore W2959289744C199360897 @default.
- W2959289744 hasConceptScore W2959289744C33923547 @default.
- W2959289744 hasConceptScore W2959289744C38652104 @default.
- W2959289744 hasConceptScore W2959289744C41008148 @default.
- W2959289744 hasConceptScore W2959289744C75949130 @default.
- W2959289744 hasLocation W29592897441 @default.
- W2959289744 hasOpenAccess W2959289744 @default.
- W2959289744 hasPrimaryLocation W29592897441 @default.
- W2959289744 hasRelatedWork W2993902457 @default.
- W2959289744 hasRelatedWork W3081807892 @default.
- W2959289744 hasRelatedWork W3090196201 @default.
- W2959289744 hasRelatedWork W3115531728 @default.
- W2959289744 hasRelatedWork W3120938471 @default.
- W2959289744 hasRelatedWork W3154080608 @default.
- W2959289744 hasRelatedWork W4232759477 @default.
- W2959289744 hasRelatedWork W4251930989 @default.
- W2959289744 hasRelatedWork W4287647491 @default.
- W2959289744 hasRelatedWork W4376277149 @default.
- W2959289744 hasVolume "127" @default.
- W2959289744 isParatext "false" @default.
- W2959289744 isRetracted "false" @default.
- W2959289744 magId "2959289744" @default.
- W2959289744 workType "article" @default.