PDF Publication Title:
Text from PDF Page: 011
www.nature.com/scientificreports/ Scientific Reports | 23. Barrat, A. & Weigt, M. On the properties of small-world network models. Eur. Phys. J. B-Condensed Matter Complex Syst. 13, 547–560 (2000). 24. Team, N. The best place to analyze, track, and discover NFTs. (2021). https://nonfungible.com/. (Accessed 4 May 2021). (Non- Fungible Corporation). 25. OpenSea,T.Discover,collect,andsellextraordinaryNFTs.(2021).https://opensea.io/.(Accessed28May2021).(OpenSea). 26. Clauset,A.,Shalizi,C.R.&Newman,M.E.Power-lawdistributionsinempiricaldata.SIAMRev.51,661–703(2009). 27. Barrat,A.,Barthelemy,M.,Pastor-Satorras,R.&Vespignani,A.Thearchitectureofcomplexweightednetworks.Proc.Natl.Acad. Sci. 101, 3747–3752 (2004). 28. Newman,M.E.Mixingpatternsinnetworks.Phys.Rev.E67,026126(2003). 29. Clauset,A.,Newman,M.E.&Moore,C.Findingcommunitystructureinverylargenetworks.Phys.Rev.E70,066111(2004). 30. Nuutila,E.&Soisalon-Soininen,E.Onfindingthestronglyconnectedcomponentsinadirectedgraph.Inf.Process.Lett.49,9–14 (1994). 31. Aslak,U.&Maier,B.F.Netwulf:Interactivevisualizationofnetworksinpython.J.OpenSourceSoftw.4,1425(2019). 32. Freund,Y.,Schapire,R.&Abe,N.Ashortintroductiontoboosting.J.-Japan.Soc.Artif.Intell.14,1612(1999). 33. Khan, A., Sohail, A., Zahoora, U. & Qureshi, A. S. A survey of the recent architectures of deep convolutional neural networks. Artif. Intell. Rev. 53, 5455–5516 (2020). 34. Xu, X., Liang, T., Zhu, J., Zheng, D. & Sun, T. Review of classical dimensionality reduction and sample selection methods for large- scale data processing. Neurocomputing 328, 5–15 (2019). 35. Alessandretti, L., ElBahrawy, A., Aiello, L. M. & Baronchelli, A. Anticipating cryptocurrency prices using machine learning. Complexity. 8983590, https://doi.org/10.1155/2018/8983590 (2018). 36. ElBahrawy,A.,Alessandretti,L.,Kandler,A.,Pastor-Satorras,R.&Baronchelli,A.Evolutionarydynamicsofthecryptocurrency market. R. Soc. Open Sci. 4, 170623 (2017). 37. Preis,T.,Moat,H.S.&Stanley,H.E.Quantifyingtradingbehaviorinfinancialmarketsusinggoogletrends.Sci.Rep.3,1–6(2013). 38. Moat,H.S.etal.Quantifyingwikipediausagepatternsbeforestockmarketmoves.Sci.Rep.3,1–5(2013). 39. ElBahrawy, A., Alessandretti, L. & Baronchelli, A. Wikipedia and cryptocurrencies: Interplay between collective attention and market performance. Front. Blockchain 2, 12 (2019). 40. delaRouviere,N.Asubgraphtoindex&exploreCryptoKittiesauctions.(2021).https://thegraph.com/explorer/subgraph/nield lr/cryptokitties-sales. (Accessed 4 May 2021). (The Graph). 41. Rosenbaum,D.Gods-Unchainedmarketplace.(2021).https://github.com/djrosenbaum/unchained-transactions.(Accessed4May 2021). (The Graph). 42. Team, D. Decentraland marketplace. (2021). https://thegraph.com/explorer/subgraph/decentraland/marketplace. (Accessed 4 May 2021). (The Graph). 43. Team,O.APIoverview.(2021).https://docs.opensea.io/reference.(Accessed4May2021).(OpenSea). 44. Team,A.M.AtomicmarketAPI.(2021).https://wax.api.atomicassets.io/atomicmarket/docs/swagger/.(Accessed4May2021). 45. Paszke,A.etal.Pytorch:Animperativestyle,high-performancedeeplearninglibrary.arXivpreprintarXiv:1912.01703(2019). 46. Krizhevsky, A., Sutskever, I. & Hinton, G. E. Imagenet classification with deep convolutional neural networks. Adv. Neural Inf. Process. Syst. 25, 1097–1105 (2012). 47. Deng, J. et al. Imagenet: A large-scale hierarchical image database. in 2009 IEEE Conference on Computer Vision and Pattern Recognition, 248–255 (IEEE, 2009). 48. Jolliffe,I.T.Principalcomponentsinregressionanalysis.inPrincipalComponentAnalysis,129–155(Springer,1986). Acknowledgements The authors are grateful to NonFungible Corporation for helpful conversations and data sharing (see text). The research was partly supported by The Alan Turing Institute. Author contributions M.N., L.A., F.D.G., M.M., L.M.A., and A.B. designed the study. M.N. and F.D.G. carried out data collection. M.N., L.A., F.D.G., and L.M.A. performed the measurements. M.N., L.A., F.D.G., M.M., L.M.A., and A.B. analysed the data, discussed the results, and contributed to the final manuscript. Competing interests The authors declare no competing interests. Additional information Supplementary Information The online version contains supplementary material available at https://doi.org/ 10.1038/s41598-021-00053-8. Correspondence and requests for materials should be addressed to A.B. Reprints and permissions information is available at www.nature.com/reprints. Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. © The Author(s) 2021 (2021) 11:20902 | https://doi.org/10.1038/s41598-021-00053-8 11 Vol.:(0123456789)PDF Image | Mapping the NFT revolution
PDF Search Title:
Mapping the NFT revolutionOriginal File Name Searched:
s41598-021-00053-8.pdfDIY PDF Search: Google It | Yahoo | Bing
NFT (Non Fungible Token): Buy our tech, design, development or system NFT and become part of our tech NFT network... More Info
IT XR Project Redstone NFT Available for Sale: NFT for high tech turbine design with one part 3D printed counter-rotating energy turbine. Be part of the future with this NFT. Can be bought and sold but only one design NFT exists. Royalties go to the developer (Infinity) to keep enhancing design and applications... More Info
Infinity Turbine IT XR Project Redstone Design: NFT for sale... NFT for high tech turbine design with one part 3D printed counter-rotating energy turbine. Includes all rights to this turbine design, including license for Fluid Handling Block I and II for the turbine assembly and housing. The NFT includes the blueprints (cad/cam), revenue streams, and all future development of the IT XR Project Redstone... More Info
Infinity Turbine ROT Radial Outflow Turbine 24 Design and Worldwide Rights: NFT for sale... NFT for the ROT 24 energy turbine. Be part of the future with this NFT. This design can be bought and sold but only one design NFT exists. You may manufacture the unit, or get the revenues from its sale from Infinity Turbine. Royalties go to the developer (Infinity) to keep enhancing design and applications... More Info
Infinity Supercritical CO2 10 Liter Extractor Design and Worldwide Rights: The Infinity Supercritical 10L CO2 extractor is for botanical oil extraction, which is rich in terpenes and can produce shelf ready full spectrum oil. With over 5 years of development, this industry leader mature extractor machine has been sold since 2015 and is part of many profitable businesses. The process can also be used for electrowinning, e-waste recycling, and lithium battery recycling, gold mining electronic wastes, precious metals. CO2 can also be used in a reverse fuel cell with nafion to make a gas-to-liquids fuel, such as methanol, ethanol and butanol or ethylene. Supercritical CO2 has also been used for treating nafion to make it more effective catalyst. This NFT is for the purchase of worldwide rights which includes the design. More Info
NFT (Non Fungible Token): Buy our tech, design, development or system NFT and become part of our tech NFT network... More Info
Infinity Turbine Products: Special for this month, any plans are $10,000 for complete Cad/Cam blueprints. License is for one build. Try before you buy a production license. May pay by Bitcoin or other Crypto. Products Page... More Info
CONTACT TEL: 608-238-6001 Email: greg@infinityturbine.com (Standard Web Page)