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What is a population? This review considers how a population may be defined in terms of understanding the structure of the underlying genetics of the individuals involved. The main approach is to consider statistically identifiable groups…

Populations and Evolution · Quantitative Biology 2013-06-05 Daniel John Lawson

Typology is a subfield of linguistics that focuses on the study and classification of languages based on their structural features. Unlike genealogical classification, which examines the historical relationships between languages, typology…

Computation and Language · Computer Science 2025-04-30 Gerhard Jäger

The amount of sequence data obtained from ancient samples has dramatically expanded in the last decade, and so have the types of questions that can now be addressed using ancient DNA. In the field of human history, while ancient DNA has…

Populations and Evolution · Quantitative Biology 2020-01-08 Fernando Racimo , Martin Sikora , Hannes Schroeder , Carles Lalueza-Fox

This paper presents a complete processing workflow for extracting information from French census lists from 1836 to 1936. These lists contain information about individuals living in France and their households. We aim at extracting all the…

Computer Vision and Pattern Recognition · Computer Science 2024-06-04 Mélodie Boillet , Solène Tarride , Manon Blanco , Valentin Rigal , Yoann Schneider , Bastien Abadie , Lionel Kesztenbaum , Christopher Kermorvant

In social sciences, there is currently no consensus on the mechanism for cultural evolution. The evolution of first names of newborn babies offers a remarkable example for the researches in the field. Here we perform statistical analyses on…

Physics and Society · Physics 2012-12-04 Ning Xi , Zi-Ke Zhang , Yi-Cheng Zhang

Automatic phylogenetic inference plays an increasingly important role in computational historical linguistics. Most pertinent work is currently based on expert cognate judgments. This limits the scope of this approach to a small number of…

Computation and Language · Computer Science 2018-10-18 Gerhard Jäger

Name-based gender classification has enabled hundreds of otherwise infeasible scientific studies of gender. Yet, the lack of standardization, proliferation of ad hoc methods, reliance on paid services, understudied limitations, and…

Social and Information Networks · Computer Science 2022-08-04 Ian Van Buskirk , Aaron Clauset , Daniel B. Larremore

Background: Many different simulation frameworks, in different topics, need to treat realistic datasets to initialize and calibrate the system. A precise reproduction of initial states is extremely important to obtain reliable forecast from…

Multiagent Systems · Computer Science 2015-05-14 Floriana Gargiulo , Sonia Ternes , Sylvie Huet , Guillaume Deffuant

Patent data provides rich information about technical inventions, but does not disclose the ethnic origin of inventors. In this paper, I use supervised learning techniques to infer this information. To do so, I construct a dataset of 95'202…

General Economics · Economics 2022-01-04 Matthias Niggli

The concept of literary genre is a highly complex one: not only are different genres frequently defined on several, but not necessarily the same levels of description, but consideration of genres as cognitive, social, or scholarly…

Computation and Language · Computer Science 2021-03-25 Christof Schöch

Predicting nationality from personal names has practical value in marketing, demographic research, and genealogical studies. Conventional neural models learn statistical correspondences between names and nationalities from task-specific…

Computation and Language · Computer Science 2026-01-21 Keito Inoshita

An individual's identity in a human society is specified by his or her name. Differently from family names, usually inherited from fathers, a given name for a child is often chosen at the parents' disposal. However, their decision cannot be…

Physics and Society · Physics 2015-10-28 Mi Jin Lee , Woo Seong Jo , Il Gu Yi , Seung Ki Baek , Beom Jun Kim

Diversity indices are useful single-number metrics for characterizing a complex distribution of a set of attributes across a population of interest. The utility of these different metrics or sets of metrics depend on the context and…

Populations and Evolution · Quantitative Biology 2020-03-06 Song Xu , Lucas Böttcher , Tom Chou

Surnames often convey implicit markers of social status, wealth, and lineage, shaping perceptions in ways that can perpetuate systemic biases and intergenerational inequality. This study is the first of its kind to investigate whether and…

Computers and Society · Computer Science 2025-02-06 Pat Pataranutaporn , Nattavudh Powdthavee , Pattie Maes

In this paper, I propose a method for correcting sample selection bias when the outcome of interest is categorical, such as occupational choice, health status, or field of study. Classical approaches to sample selection rely on strong…

Econometrics · Economics 2025-11-11 Onil Boussim

Through the use of first name substitution experiments, prior research has demonstrated the tendency of social commonsense reasoning models to systematically exhibit social biases along the dimensions of race, ethnicity, and gender (An et…

Computation and Language · Computer Science 2023-05-29 Haozhe An , Rachel Rudinger

Demographic inference from text has received a surge of attention in the field of natural language processing in the last decade. In this paper, we use personal names to infer religion in South Asia - where religion is a salient social…

Computation and Language · Computer Science 2020-10-28 Rochana Chaturvedi , Sugat Chaturvedi

Migrations have played an important role in shaping the genetic diversity of human populations. Understanding genomic data thus requires careful modeling of historical gene flow. Here we consider the effect of relatively recent population…

Populations and Evolution · Quantitative Biology 2012-04-26 Simon Gravel

The socioeconomic status of people depends on a combination of individual characteristics and environmental variables, thus its inference from online behavioral data is a difficult task. Attributes like user semantics in communication,…

Social and Information Networks · Computer Science 2019-01-17 Jacobo Levy Abitbol , Márton Karsai , Eric Fleury

A stochastic model for the evolution of a growing population is proposed, in order to explain empirical power-law distributions in the frequency of family names as a function of the family size. Preliminary results show that the predicted…

Adaptation and Self-Organizing Systems · Physics 2009-10-31 Damian H. Zanette , Susanna C. Manrubia