Statistical monitoring for change detection of interactions between nodes in networks: With a case study in financial interactions network

Monitoring Attributed Social Networks Based on Count Data and Random Effects

“…One of these important limitations is that the available literature assumes that the whole set of interacting individuals (nodes) are known and fixed over time. Mogouie et al [34] proposed a new approach for monitoring binary edge social networks considering random effects and Najafi and Saghaei [35] worked on monitoring financial networks based on the concepts introduced by Mogouie et al [34]. Noorossana et al [36] also presented a review article on statistical monitoring methods for social networks.…”