Cascading Behavior of an Extended Watts Model on Networks

In this study, we propose an extended Watts model to examine the effect of initiators on information cascades. The assumes that nodes with connections have low adoption thresholds than other nodes, due significant influence initiators. We develop a tree approximation describe active node fraction for in random networks and derive cascade condition global occur small By analyzing window Erdős–Rényi graph, find increasing facilitates possibility cascades, i.e., how many eventually become is significantly affected by threshold directly connected initiators, which determine dynamics at early stages.