kimlag
Kimlag is a term used in theoretical and applied studies of information diffusion and social influence to denote a class of models that characterize delayed effects in dynamic networks. In kimlag models, the state of a node at a given time is influenced not only by current interactions but also by past states of its neighbors, with a lag kernel that weights contributions from previous moments. The approach is employed to study how ideas, behaviors, or products propagate with delays caused by attention, processing, or platform mechanics.
Origin and scope of the concept place kimlag within temporal network analysis and diffusion research. The term
Methodology and estimation typically rely on time-stamped interaction data and known network structure. Analysts define an
Applications and reception vary. Supporters highlight kimlag’s utility for capturing delayed diffusion in social media campaigns,