PPCN: Identifying influential nodes based on propagation probability model considering neighbors in complex networks

Key Points

• Influential nodes were identified based on a propagation probability model, enhancing understanding of network dynamics.
• Key results demonstrate that considering neighboring influences significantly alters node importance rankings.
• Employing graph theory techniques, this approach offers a novel perspective on analyzing complex networks.
• These findings suggest potential applications in optimizing communication and control within various networked systems.