Proximity data-loggers increase the quantity and quality of social network data


Abstract:

Social network analysis is an ideal quantitative tool for advancing our understanding of complex social behaviour. However, this approach is often limited by the challenges of accurately characterizing social structure and measuring network heterogeneity. Technological advances have facilitated the study of social networks, but to date, all such work has focused on large vertebrates. Here, we provide proof of concept for using proximity data-logging to quantify the frequency of social interactions, construct weighted networks and characterize variation in the social behaviour of a lek-breeding bird, the wire-tailed manakin, Pipra filicauda. Our results highlight how this approach can ameliorate the challenges of social network data collection and analysis by concurrently improving data quality and quantity. © 2012 The Royal Society.

Año de publicación:

2012

Keywords:

  • Coded nanotag
  • Proximity data-loggers
  • SOCIAL NETWORKS

Fuente:

scopusscopus

Tipo de documento:

Article

Estado:

Acceso abierto

Áreas de conocimiento:

  • Análisis de redes sociales
  • Minería de datos
  • Ciencias de la computación

Áreas temáticas:

  • Interacción social