File:Larger populations amplify the spread of initially frequent labels.webp

English: "a Using the Zipf distribution to model the initial frequency of labels (including data from all conditions; N = 2, N = 6, N = 8, N = 24, and N = 50), where initial frequency refers to the number of individuals who introduced a label without any prior exposure to the label in the task. Vertical axis displays the log of each label’s initial frequency. Horizontal axis displays the log of each label’s frequency rank. b Displaying the mean effect of population size on the ability for labels to reach critical mass (when at least 25% of subjects in a network independently introduce a label). Common labels are identified as outliers with high initial frequency (Supplementary Information section 1.3). Data display the proportion of experimental trials in each condition for which each label type reached critical mass. Error bars display 95% confidence intervals. c The correlation between the initial frequency of a label in a population and the proportion of subjects in a population who adopted the label (vertical axis), where adopting a label entails that a subject produced a label after being exposed to it. Horizontal axis displays the diversity of categories in each trial, indicated as the average number of unique labels encountered by each subject in a network. Error bands display 95% confidence intervals. All observations are independent and at the network-level. All panels represent data from 80 unique dyads and 15 unique social networks of each size."