This chapter introduces the concept of network mechanisms and compares it to the notion of social mechanisms in Analytical Sociology. It discusses how statistical network models and empirically calibrated simulation models are applied to investigate network mechanisms. Different statistical network models are reviewed and compared, in particular conditional uniform graph (CUG) tests, quadratic assignment procedure (QAP) regressions, exponential random graph models (ERGMs), stochastic actor-oriented models (SAOMs) and relational event models (REM and DyNAM). The chapter further highlights that several of these models can be used as agent-based simulation frameworks to study micro-macro links in complex social systems.
Stadtfeld, C., Amati, V. (2021). Network Mechanism and Network Models. In G. Manzo (a cura di), Research Handbook on Analytical Sociology (pp. 432-452). Edward Elgar Publishing.
Network Mechanism and Network Models
Amati, V
2021
Abstract
This chapter introduces the concept of network mechanisms and compares it to the notion of social mechanisms in Analytical Sociology. It discusses how statistical network models and empirically calibrated simulation models are applied to investigate network mechanisms. Different statistical network models are reviewed and compared, in particular conditional uniform graph (CUG) tests, quadratic assignment procedure (QAP) regressions, exponential random graph models (ERGMs), stochastic actor-oriented models (SAOMs) and relational event models (REM and DyNAM). The chapter further highlights that several of these models can be used as agent-based simulation frameworks to study micro-macro links in complex social systems.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.