This would also mean that the network itself (active users) now controls the changes in the blockchain. In the case of cryptocurrencies, this would cause governments and central banks to lose their monopoly in financial markets. At its core, decentralization was introduced to remove heterogeneity from systems. The intuition behind bringing social networks into consideration while analyzing blockchains, lies within their decentralized structure. Part of the Blockchain’s appeal to physicists and data scientists stems from its complexity and underlying interdependencies that affect and take influence from other complex systems namely financial and social networks. Keywords: Big Data, Ethereum, Bitcoin, Hadoop, Spark, Cross-correlation, Complexityīlockchains technology and cryptocurrencies such as Ethereum and Bitcoin have attracted the rapidly increasing attention of many industries and researchers from various fields. Lastly, a cross-correlation study of crypto prices and search trends reveals the pairs providing more accurate and timely predictions of Ether prices. An analysis of the crypto prices and search trends suggests the existence of big players (and not the regular users), manipulating the market after a drop in prices. Next, these trends are compared with the public's interest in Ether and Bitcoin, measured by the volume of online searches. PDF Publication Title: Ethereum Network: from Blockchain to Google Trends ( ethereum-network-from-blockchain-google-trends ) Next Page ViewĪ Big Data Analysis of the Ethereum Network: from Blockchain to Google TrendsĬenter for Complex Networks and Social DataScience (CCNSD) Department of Physics, Shahid Beheshti University Tehran, First, a big data analysis of the transactions and smart contracts made on the Ethereum blockchain is performed, revealing interesting trends in motion.
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