833 citations · 4.3k across the 84 of their papers we have counts for
6 papers · 1 filter
Constructing a taxonomy of fine-grained human movement and activity motifs through social media
Morgan R. Frank, Jake Ryland Williams, Lewis Mitchell +3
Profiting from the emergence of web-scale social data sets, numerous recent studies have systematically explored human mobility patterns over large populations and large time scale…
Computational Studies of Multiple-Particle Nonlinear Dynamics in a Spatio-Temporally periodic potential
Owen D. Myers, Junru Wu, Jeffrey S. Marshall +1
The spatio-temporally periodic (STP) potential is interesting in Physics due to the intimate coupling between its time and spatial components. In this paper we begin with a brief d…
Text mixing shapes the anatomy of rank-frequency distributions: A modern Zipfian mechanics for natural language
Jake Ryland Williams, James P. Bagrow, Christopher M. Danforth +1
Natural languages are full of rules and exceptions. One of the most famous quantitative rules is Zipf's law which states that the frequency of occurrence of a word is approximately…
Human language reveals a universal positivity bias
Peter Sheridan Dodds, Eric M. Clark, Suma Desu +11
Using human evaluation of 100,000 words spread across 24 corpora in 10 languages diverse in origin and culture, we present evidence of a deep imprint of human sociality in language…
Zipf's law holds for phrases, not words
Jake Ryland Williams, Paul R. Lessard, Suma Desu +4
With Zipf's law being originally and most famously observed for word frequency, it is surprisingly limited in its applicability to human language, holding over no more than three t…
Estimation of global network statistics from incomplete data
Catherine A. Bliss, Christopher M. Danforth, Peter Sheridan Dodds
Complex networks underlie an enormous variety of social, biological, physical, and virtual systems. A profound complication for the science of complex networks is that in most case…