Co-evolution of social networks and continuous actor attributes

Nynke M.D. Niezink, Tom A.B. Snijders

Research output: Contribution to journalArticleAcademicpeer-review

6 Citations (Scopus)
264 Downloads (Pure)

Abstract

Social networks and the attributes of the actors in these networks are not static; they may develop interdependently over time.
The stochastic actor-oriented model allows for statistical inference on the mechanisms driving this co-evolution process. In earlier versions
of this model, dynamic actor attributes are assumed to be measured on an ordinal categorical scale. We present an extension of the stochastic actor-oriented model that does away with this restriction, using a stochastic dierential equation to model the evolution of continuous actor attributes. We estimate the parameters by a procedure based on the method of moments. The proposed method is applied
to study the dynamics of a friendship network among the students at an Australian high school. In particular, we model the relationship
between friendship and obesity, focusing on body mass index as a continuous co-evolving attribute.
Original languageEnglish
Pages (from-to)1948-1973
Number of pages26
JournalAnnals of Applied Statistics
Volume11
Issue number4
DOIs
Publication statusPublished - 2017

Keywords

  • social networks
  • longitudinal data
  • Markov model
  • stochastic differential equations
  • method of moments
  • OBESITY
  • ROLES
  • PANEL-DATA
  • SELECTION
  • MODELS
  • EXPLANATIONS
  • AGGRESSION
  • CONTAGION
  • BEHAVIOR
  • CONTEXT

Cite this