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chaos, solitons, and fractals

[1] Social media and bitcoin metrics: which words matter.

[2] Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds.

[3] Modeling narrative structure and dynamics with networks, sentiment analysis, and topic modeling.

[4] A Survey of Blockchain Enabled Cyber-Physical Systems.

[5] A Mobile Cloud based IoMT Framework for Automated Health Assessment and Management.

[6] The evolving topology of the Lightning Network: Centralization, efficiency, robustness, synchronization, and anonymity.

[7] School of Block-Review of Blockchain for the Radiologists.

[8] Social and Psychological Predictors of Youths' Attitudes to Cryptocurrency.

[9] Life Cycle Assessment of Bitcoin Mining.

[10] Estimating the volatility of cryptocurrencies during bearish markets by employing GARCH models.

[11] Fitness preferential attachment as a driving mechanism in bitcoin transaction network.

[12] Dissection of Bitcoin's multiscale bubble history from January 2012 to February 2018.

[13] Fractional gray Lotka-Volterra models with application to cryptocurrencies adoption.

[14] Are Bitcoin bubbles predictable? Combining a generalized Metcalfe's Law and the Log-Periodic Power Law Singularity model.

[15] PUIoT: Pay-Per-Piece Patch Update Delivery for IoT Using Gradual Release.

[16] Evolutionary dynamics of the cryptocurrency market.

[17] Correction: From blockchain technology to global health equity: can cryptocurrencies finance universal health coverage?

[18] An Introduction to the Blockchain and Its Implications for Libraries and Medicine.

[19] RETRACTION:  How blockchain-timestamped protocols could improve the trustworthiness of medical science.

[20] The Potential of Blockchain in Education and Health Care.

[21] True versus Spurious Long Memory in Cryptocurrencies

[22] A Systematic Review of Challenges and Opportunities of Blockchain for E-Voting

[23] Technical Analysis on the Bitcoin Market: Trading Opportunities or Investors’ Pitfall?

[24] A Novel Methodology to Calculate the Probability of Volatility Clusters in Financial Series: An Application to Cryptocurrency Markets

[25] Technical Analysis on the Bitcoin Market: Trading Opportunities or Investors’ Pitfall?

[26] cryptocurrency: era and field of financial innovations

[27] distributed ledger technologies and prospects of their use in the education system

[28] editorial: platforms and ecosystems (september 2017)

[29] the bitcoin mining game

[30] Herding behaviour in digital currency markets: An integrated survey and empirical estimation.

[31] Network Dynamics of a Financial Ecosystem.

[32] Renyi entropy and mutual information measurement of market expectations and investor fear during the COVID-19 pandemic.

[33] Safe haven or risky hazard? Bitcoin during the Covid-19 bear market.

[34] Coronavirus (COVID-19) - An epidemic or pandemic for financial markets.

[35] analyzing the bitcoin network: the first four years

[36] cybercurrencies

[37] socialism and the blockchain

[38] the advantages and disadvantages of bitcoin payments in the new economy

[39] Is Bitcoin Similar to Gold? An Integrated Overview of Empirical Findings

[40] Some comments on Bitcoin market (in)efficiency.

[41] Time frequency analysis of the commonalities between Bitcoin and major Cryptocurrencies: Portfolio risk management implications

[42] Anomaly detection in Bitcoin market via price return analysis.

[43] Visualizing Dynamic Bitcoin Transaction Patterns.

[44] Exponentially decayed double power-law distribution of Bitcoin trade sizes

[45] Bitcoin price prediction using machine learning: An approach to sample dimension engineering

[46] Towards open data blockchain analytics: a Bitcoin perspective.

[47] On the investment credentials of Bitcoin: A cross-currency perspective

[48] The effect of symmetric and asymmetric information on volatility structure of crypto-currency markets: A case study of bitcoin currency

[49] The issue of competing currencies. Case study – Bitcoin

[50] Bitcoin as a new stage financial liberalization

[51] Filtering Email Addresses, Credit Card Numbers and Searching for Bitcoin Artifacts with the Autopsy Digital Forensics Software

[52] The bow tie structure of the Bitcoin users graph

[53] Blockchain inefficiency in the Bitcoin peers network

[54] Prospective Applications of Blockchain and Bitcoin Cryptocurrency Technology

[55] Modelling the dynamics of Bitcoin and Litecoin: GARCH versus stochastic volatility models

[56] Bitcoin a careful design of bubble or legit currency: Analysis based on indian economy

[57] The role of secondary sources on the taxation of digital currency (Bitcoin) before IRS guidance was issued

[58] Social media and bitcoin metrics: which words matter.

[59] Sind Kryptowährungen wie Bitcoin (BTC), Ethereum (ETH) und Ripple (XRP) als Sachen im Sinne des ZGB zu behandeln?

[60] Is bitcoin a safe haven or a hedging asset? Evidence from China

[61] A percolation model for the emergence of the Bitcoin Lightning Network.

[62] DUSTBot: A duplex and stealthy P2P-based botnet in the Bitcoin network.

[63] Life Cycle Assessment of Bitcoin Mining.

[64] Core Concept: Blockchain offers applications well beyond Bitcoin but faces its own limitations.

[65] Fitness preferential attachment as a driving mechanism in bitcoin transaction network.

[66] Dissection of Bitcoin's multiscale bubble history from January 2012 to February 2018.

[67] Are Bitcoin bubbles predictable? Combining a generalized Metcalfe's Law and the Log-Periodic Power Law Singularity model.

[68] Predicting changes in Bitcoin price using grey system theory

[69] Bitcoin in the scientific literature - A bibliometric study

[70] Pricing Efficiency and Arbitrage in the Bitcoin Spot and Futures Markets

[71] Preserving transaction privacy in bitcoin

[72] Runtime verification for business processes utilizing the Bitcoin blockchain

[73] A fair protocol for data trading based on Bitcoin transactions

[74] A Bitcoin payment network with reduced transaction fees and confirmation times

[75] Dynamic characteristic of Bitcoin cryptocurrency in the reconstruction scheme

[76] More heat than light: Investor attention and bitcoin price discovery

[77] Safe haven, hedge and diversification for G7 stock markets: Gold versus bitcoin

[78] A forecast comparison of volatility models using realized volatility: evidence from the Bitcoin market

[79] Improving the realized GARCH's volatility forecast for Bitcoin with jump-robust estimators

[80] Intelligent forecasting with machine learning trading systems in chaotic intraday Bitcoin market

[81] Price discovery in bitcoin futures

[82] The Extra-Institutional Logics of an Emerging Market Field: Values and Practice in the Bitcoin Experience

[83] Sentiment disagreement and bitcoin price fluctuations: a psycholinguistic approach

[84] Analysis of bitcoin backbone protocol in the non-flat model

[85] A privacy preserving two-factor authentication protocol for the Bitcoin SPV nodes

[86] Identifying the vulnerabilities of bitcoin anonymous mechanism based on address clustering

[87] Lead behaviour in bitcoin markets

[88] Is bitcoin a channel of capital inflow? Evidence from carry trade activity

[89] Retraction notice to “Testing for multiple bubbles in bitcoin markets: A generalized sup ADF test” (Japan & The World Economy (2018) 46 (56–63), (S0922142517301482), (10.1016/j.japwor.2018.03.004))

[90] How economic freedom reflects on the Bitcoin transaction network

[91] Market Efficiency, Liquidity, and Multifractality of Bitcoin: A Dynamic Study

[92] Bitcoin, o teorema da regressão e a emergência de um novo meio de troca

[93] Structure and Anonymity of the Bitcoin Transaction Graph

[94] A Bayesian approach to identify Bitcoin users.

[95] Increased block size and Bitcoin blockchain dynamics

[96] Long Memory in the Volatility of Selected Cryptocurrencies: Bitcoin, Ethereum and Ripple

[97] Long Memory in the Volatility of Selected Cryptocurrencies: Bitcoin, Ethereum and Ripple

[98] Technical Analysis on the Bitcoin Market: Trading Opportunities or Investors’ Pitfall?

[99] Technical Analysis on the Bitcoin Market: Trading Opportunities or Investors’ Pitfall?

[100] Energy Consumption of Cryptocurrencies Beyond Bitcoin.

[101] Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach.