2020
DOI: 10.1140/epjds/s13688-020-0220-x
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The shocklet transform: a decomposition method for the identification of local, mechanism-driven dynamics in sociotechnical time series

Abstract: We introduce an unsupervised pattern recognition algorithm termed the Discrete Shocklet Transform (DST) by which local dynamics of time series can be extracted. Time series that are hypothesized to be generated by underlying deterministic mechanisms have significantly different DSTs than do purely random null models. We apply the DST to a sociotechnical data source, usage frequencies for a subset of words on Twitter over a decade, and demonstrate the ability of the DST to filter high-dimensional data and autom… Show more

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Cited by 6 publications
(7 citation statements)
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“…For innovations, we show the time series of “#AlphaGo,” the first artificial intelligence program to beat the human Go champion (orange), along with the development of CRISPR technology for editing genomes (brown). We see that time series for scientific advances generally show shock-like responses with little anticipation or memory ( 30 ). CRISPR is an exception for these few examples as through 2015, it moves to a higher, enduring state of being referenced.…”
Section: Resultsmentioning
confidence: 99%
“…For innovations, we show the time series of “#AlphaGo,” the first artificial intelligence program to beat the human Go champion (orange), along with the development of CRISPR technology for editing genomes (brown). We see that time series for scientific advances generally show shock-like responses with little anticipation or memory ( 30 ). CRISPR is an exception for these few examples as through 2015, it moves to a higher, enduring state of being referenced.…”
Section: Resultsmentioning
confidence: 99%
“…Beyond prediction, models learned from data can also elucidate social behaviors 3 . Scientists developed techniques for temporal data analysis, based on anomaly detection 49 and regression discontinuity design 50 , to uncover natural experiments that yield insights into the mechanisms of human decision making. As we showed in this paper, however, these techniques may be systematically biased by temporal sampling.…”
Section: Discussionmentioning
confidence: 99%
“…For innovations, we show the time series of '#AlphaGo'-the first artificial intelligence program to beat the human Go champion (orange), along with the development of CRISPR technology for editing genomes (brown). We see that time series for scientific advances generally show shock-like responses with little anticipation or memory [75]. CRISPR is an exception for these few examples as through 2015, it moves to a higher, enduring state of being referenced.…”
Section: Basic Rank Time Seriesmentioning
confidence: 94%
“…Twitter is a well-structured streaming source of sociotechnical data, allowing for the study of dynamical linguistics and cultural phenomena [75,323]. Of course, like many other social platforms, Twitter represents only a subsample of the publicly declared views, utterances, and interactions of millions of individuals, organizations, and automated accounts (e.g., social bots) around the world [149,194,205,305].…”
Section: Methodsmentioning
confidence: 99%