logo
ResearchBunny Logo
On revolutions

Interdisciplinary Studies

On revolutions

A. M. Leroi, B. Lambert, et al.

Experience a new method to identify revolutions through the lens of multivariate data! This groundbreaking research by Armand M. Leroi and colleagues uncovers periods of significant change, challenging traditional historical narratives and revealing both famous and obscure revolutions alike.... show more
Abstract
Sometimes the normal course of events is disrupted by a particularly swift and profound change. Historians have often referred to such changes as "revolutions", and, though they have identified many of them, they have rarely supported their claims with statistical evidence. Here, we present a method to identify revolutions based on a measure of multivariate rate of change called Foote novelty. We define revolutions as those periods of time when the value of this measure is, by a non-parametric test, shown to significantly exceed the background rate. Our method also identifies conservative periods when the rate of change is unusually low. We apply it to several quantitative data sets that capture long-term political, social and cultural changes and, in some of them, identify revolutions — both well known and not. Our method is general and can be applied to any phenomenon captured by multivariate time series data of sufficient quality.
Publisher
PALGRAVE COMMUNICATIONS
Published On
Jan 07, 2020
Authors
Armand M. Leroi, Ben Lambert, Matthias Mauch, Marina Papadopoulou, Sophia Ananiadou, Staffan I. Lindberg, Patrik Lindenfors
Tags
revolutions
Foote novelty
multivariate time series
political change
social change
cultural changes
statistical evidence
Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny