Abstract: Big data of Liaoning forestry pests was adopted， which publicated by General Station of Forest Pest Management， State Forestry Administration. A construction method based on space-time influence domain for insects network was proposed according to the insects occurring complexity in space and time. Taking pine caterpillar (Dendrolimus spp.) as a research sample， the expansion of the time window is determined according to the insects’ lifestyles and habits， and the range of influence effect are determined according to the damage of pest. The results show that the proposed pine caterpillar network following the power-law distribution is scale-free， Dendrolimus diffuse fast， the pine caterpillars are more likely to emerge clustered， and the topology of the pine caterpillar network is robust. This analysis which using the complex network method is scientific， and the real-world phenomenon can be reflected in the network construction method. Such a analysis of network science on pine caterpillar network is intended to provide a guidance regarding to forestry pest control strategies.

Key words: network science, insects network, space-time influence domain, Liaoning forestry pests, pine caterpillar (Dendrolimus spp.)