Back to search

Article

How to Understand Common Patterns in Big Data: The Case of Human Collective Memory

2019-01-11

Abstract excerpt

Simple patterns often arise from complex systems. For example, human perception of similarity decays exponentially with perceptual distance. The ranking of word usage versus the frequency at which the words are used has a log-log slope of minus one. Recent advances in big data provide an opportunity to characterize the commonly observed patterns of nature. Those observed regularities set the challenge of understan...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
d9e7b6e3-0fcc-50fa-be47-fc96a078ec21
DOI
10.20944/preprints201901.0103.v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
How to Understand Common Patterns in Big Data: The Case of Human Collective MemoryDOI 10.20944/preprints201901.0103.v1
Select a neighboring publication to make it the new centre.