Relational Sequence Networks as a Tool for Studying Gendered Mobility Patterns

Dados Bibliográficos

ID20037514
AutoresKlaus Hamberger (Laboratoire d'Anthropologie Sociale, autor correspondente)
Ano2018
Páginas121-146
Data de publicação2018-01-01
Peer ReviewedSim
Open AccessSim
TipoCHAPTER
PeriódicoSequence Analysis and Related Approaches (SOURCE_BOOK)
EditoraSpringer International Publishing (PUBLISHER • SG)
DOI10.1007/978-3-319-95420-2_8
OpenAlexW2897127072
ISBN9783319954202
IdiomaEN
Citações recebidas2
Referências citadas25

This paper uses relational sequence networks to discern gendered patterns in migration biographies. Starting from an integrated bimodal network model of kinship and mobility relations, sequence networks are constructed by classifying mobility events according to the social (kinship or other) relation between the individuals they link together as migrants and hosts. Itineraries thus are conceived of as walks in a space of relational positions. Drawing on 60 migration itineraries from rural South-east Togo (embedded in a larger network of 509 itineraries), we show that male and female trajectories do not so much differ in their degree of mobility as in the topology of the social spaces they traverse and in the structure of the social sequences they trace. Rather than just confirming the macro-tendencies for male and female mobility patterns stated in the demographic literature, sequence network analysis yields insight into the relational logics that bring these tendencies about. Data have been analyzed with the open source software Puck, which implements the model presented in the paper

Biology · Cartography · Data mining · Geography · Kinship · Relational database · Social media · Social network analysis · Social relation · Social science · Sociology · Traverse · World Wide Web · Anthropology · Computer Science · Mathematics · Migration and Labor Dynamics · Social Capital and Networks · Urban, Neighborhood, and Segregation Studies