Strategic use of payoff information in-hop evolutionary Best-shot networked public goods game

Xing Jin, Yuchen Tao, Jingrui Wang, Chao Wang, Yongheng Wang, Zhouyang Zhang, Zhen Wang

Abstract: Highlights•We propose the k-hop evolutionary Best-shot networked public goods game (k-EBNPG) model.•We delineate the evolutionary process into learning and accessing stages.•The social welfare will increase with a diminishing margin as k increases.•The social welfare will achieve the highest when the access cost is half the investment cost.