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Visibility graph network analysis of natural gas price: The case of North American market

https://doi.org/10.1016/j.physa.2016.06.051

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Modeling traffic flow correlation using DFA and DCCA

inferredcites →https://doi.org/10.1016/j.eneco.2009.04.001openalex-snapshot

A supply and demand based volatility model for energy prices

inferredcites →https://doi.org/10.1016/j.eneco.2014.02.005openalex-snapshot

Daily seasonality in crude oil returns and volatilities

inferredcites →https://doi.org/10.1016/j.energy.2014.05.016openalex-snapshot

Modeling natural gas price volatility: The case of the UK gas market

inferredcites →https://doi.org/10.1016/j.energy.2014.06.095openalex-snapshot

Features and evolution of international crude oil trade relationships: A trading-based network analysis

inferredcites →https://doi.org/10.1016/j.physa.2009.07.016openalex-snapshot

Visibility graph approach to exchange rate series

inferredcites →https://doi.org/10.1016/j.physa.2012.07.054openalex-snapshot

Visibility graph analysis on quarterly macroeconomic series of China based on complex network theory

inferredcites →https://doi.org/10.1016/j.physa.2013.03.063openalex-snapshot

Visibility graph network analysis of gold price time series

inferredcites →https://doi.org/10.1016/j.physa.2014.05.058openalex-snapshot

Time series analysis of the developed financial markets’ integration using visibility graphs

inferredcites →https://doi.org/10.1016/j.physa.2015.03.057openalex-snapshot

Volatility behavior of visibility graph EMD financial time series from Ising interacting system

inferredcites →https://doi.org/10.1016/j.resourpol.2010.01.001openalex-snapshot

Understanding world metals prices—Returns, volatility and diversification

inferredcites →https://doi.org/10.1016/j.rfe.2015.02.001openalex-snapshot

From pit to electronic trading: Impact on price volatility of U.S. Treasury futures

inferredcites →https://doi.org/10.1038/nphys266openalex-snapshot

Origins of fractality in the growth of complex networks

inferredcites →https://doi.org/10.1073/pnas.0709247105openalex-snapshot

From time series to complex networks: The visibility graph

inferredcites →https://doi.org/10.1088/1742-5468/2008/10/p10008openalex-snapshot

Fast unfolding of communities in large networks

inferredcites →https://doi.org/10.1103/physreve.65.066130openalex-snapshot

Large-scale topological and dynamical properties of the Internet

inferredcites →https://doi.org/10.1111/j.1468-0076.2006.00167.xopenalex-snapshot

Returns and volatility in the NYMEX Henry Hub natural gas futures market

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4649159openalex-extracted

Visibility Graph Analysis of Crude Oil Futures Markets: Insights from the Covid-19 Pandemic and Russia-Ukraine Conflict

inferred← citeshttps://doi.org/10.2139/ssrn.4805646openalex-extracted

Measuring Natural Gas Price Feature of Asian-Pacific Market from Complex Network Perspective

inferred← citeshttps://doi.org/10.1007/s11071-023-08762-7openalex-snapshot

Visibility graph analysis of the sea surface temperature irreversibility during El Niño events

inferred← citeshttps://doi.org/10.1016/j.chaos.2025.117161openalex-snapshot

Vehicle dynamics analytics based on complex network techniques: A trajectory-based visibility graph approach

inferred← citeshttps://doi.org/10.1016/j.enconman.2018.02.023openalex-snapshot

Technical, economic and environmental optimization of combined heat and power systems based on solid oxide fuel cell for a greenhouse case study

inferred← citeshttps://doi.org/10.1016/j.energy.2019.06.072openalex-snapshot

Long-term memory dynamics of crude oil price spread in non-dollar countries under the influence of exchange rates

inferred← citeshttps://doi.org/10.1016/j.energy.2024.134133openalex-snapshot

Measuring the natural gas price features of the Asia-Pacific market from a complex network perspective

inferred← citeshttps://doi.org/10.1016/j.esr.2022.100979openalex-snapshot

Examining rational bubbles in global natural gas prices: Evidence from frequency domain estimates

inferred← citeshttps://doi.org/10.1016/j.ijcip.2019.100308openalex-snapshot

Exploring the temporal structure of time series data for hazardous liquid pipeline incidents based on complex network theory

inferred← citeshttps://doi.org/10.1016/j.physa.2017.11.040openalex-snapshot

The parametric modified limited penetrable visibility graph for constructing complex networks from time series

inferred← citeshttps://doi.org/10.1016/j.physa.2019.121748openalex-snapshot

Visibility graph analysis of economy policy uncertainty indices

inferred← citeshttps://doi.org/10.1016/j.physa.2020.125108openalex-snapshot

Identification and prediction of bifurcation tipping points using complex networks based on quasi-isometric mapping

inferred← citeshttps://doi.org/10.1016/j.physa.2024.130004openalex-snapshot

Visibility graph analysis of the grains and oilseeds indices

inferred← citeshttps://doi.org/10.1016/j.resourpol.2020.101790openalex-snapshot

Iran in the emerging global natural gas market: A scenario-based competitive analysis and policy assessment

inferred← citeshttps://doi.org/10.1016/j.scitotenv.2020.137117openalex-snapshot

Carbon price forecasting based on modified ensemble empirical mode decomposition and long short-term memory optimized by improved whale optimization algorithm

inferred← citeshttps://doi.org/10.1016/j.tourman.2017.07.004openalex-snapshot

Complexity traits and dynamics of tourism destinations

inferred← citeshttps://doi.org/10.1109/access.2024.3401485openalex-snapshot

A Review of Visibility Graph Analysis

inferred← citeshttps://doi.org/10.1109/tcss.2023.3234183openalex-snapshot

How Information Manipulation on Social Media Influences the NFT Investors’ Behavior: A Case Study of Goblintown.Wtf

inferred← citeshttps://doi.org/10.1142/s021947752550021xopenalex-snapshot

Visibility Graph Analysis of Crude Oil Futures Markets: Insights from the COVID-19 Pandemic and Russia–Ukraine Conflict

inferred← citeshttps://doi.org/10.1145/3691720.3691746openalex-snapshot

TOPSIS-based identification and analysis of important exam nodes

inferred← citeshttps://doi.org/10.11648/j.ijema.20180603.15openalex-snapshot

Visibility Graph Network Analysis of Air Quality Data

inferred← citeshttps://doi.org/10.18280/ijdne.150616openalex-snapshot

Visibility Graph Complex Network Analysis on Seismic-Induced Variation in Groundwater Level of Nanxi Well, China

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LNG Thermodynamic Data for Key Engineering Challenges

inferred← citeshttps://doi.org/10.3389/fphy.2025.1697310openalex-snapshot

Identification of time points for LNG throughput: a complex network approach

inferred← citeshttps://doi.org/10.3389/fphy.2026.1809470openalex-snapshot

Regional analysis of study abroad search indices in China based on visibility graph theory: temporal patterns and regional coordination

inferred← citeshttps://doi.org/10.3390/e26040341openalex-snapshot

Distinction of Chaos from Randomness Is Not Possible from the Degree Distribution of the Visibility and Phase Space Reconstruction Graphs

inferred← citeshttps://doi.org/10.3390/su9040574openalex-snapshot

Analysis of the Dynamic Evolutionary Behavior of American Heating Oil Spot and Futures Price Fluctuation Networks

inferred← citeshttps://doi.org/10.3390/sym11040563openalex-snapshot

Power-Law Distribution of Natural Visibility Graphs from Reaction Times Series

inferred← citeshttps://doi.org/10.3832/ifor4735-018openalex-snapshot

Applying complex network metrics to individual-tree diameter growth modeling

inferred← citeshttps://doi.org/10.4995/thesis/10251/176012openalex-snapshot

Applications of Visibility Graphs for the representation of Time Series

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