Quantitative historical analysis uncovers a single dimension of complexity that structures global variation in human social organization

Turchin, Peter; E. Currie, Thomas; Whitehouse, Harvey; François, Pieter; Feeney, Kevin; Mullins, Daniel; Hoyer, Daniël; Collins, Christina; Grohmann, Steph; E. Savage, Patrick; Mendel-Gleason, Gavin; Turner, Edward; Dupeyron, Agathe; Cioni, Enrico; Reddish, Jenny; Levine, Jill; Jordan, Greine; Brandl, Eva; Williams, Alice; Cesaretti, Rudolf; Krueger, Marta; Ceccarelli, Alessandro; Figliulo-Rosswurm, Joe; Tuan, Po-Ju; N. Peregrine, Peter; Marciniak, Arkadiusz; Preiser-Kapeller, Johannes; Kradin, Nikolay; Korotayev, Andrey; Palmisano, Alessio; Baker, David; Bidmead, Julye; K. Bol, Peter; Christian, David; Cook, Connie; Covey, Alan; M. Feinman, Gary; Daníel Júlíusson, Árni; Kristinsson, Axel; N. Miksic, John; Mostern, Ruth; A. Petrie, Cameron; Rudiak‐Gould, Peter; ter Haar, Barend; A. Wallace, Vesna; H. Mair, Victor; Xie, Liye; Baines, John; Bridges, Elizabeth; G. Manning, J.; M. Lockhart, Bruce; Bogaard, Amy; Spencer, Charles

doi:10.1073/pnas.1708800115

Public

Quantitative historical analysis uncovers a single dimension of complexity that structures global variation in human social organization

Published in Proceedings of the National Academy of Sciences • Dec 21, 2017

Authors:

Peter Turchin

Thomas E. Currie

Harvey Whitehouse

Abstract

Do human societies from around the world exhibit similarities in the way that they are structured, and show commonalities in the ways that they have evolved? These are long-standing questions that have proven difficult to answer. To test between competing hypotheses, we constructed a massive reposit...

Subject

Variation (astronomy)

Dimension (graph theory)

Corporate governance

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