[Objectives] Animal social network analysis can provide a flexible toolbox for describing the social system of species or populations in a directly quantitative and comparable manner. However, it requires careful consideration of differentiating real from observed networks and controlling for inherent biases that are common in social data. To investigate the species diversity and its community characteristics at the Dongzhai National Reserve, Henan Province, China. [Methods] We carried out 5.5 days of bird banding using mist nets in 2021. Using animal social network analysis, we investigate the social network of species in this reserve. With the network of species implanting species’ life-history traits (i.e. trophic niche and migration), we investigate the impact of these life-history traits on the network's structure. Animal social network analysis was done using the R packages ‘asnipe’ and ‘igraph’. [Results] 33 species of birds from 12 families were banded among which the most banded species were Vinous-throated Parrotbill (Sinosuthora webbiana), Chestnut-flanked White-eye (Zosterops erythropleurus) and Brown-flanked Bush Warbler (Horornis fortipes) (Table 1). As to the trophic niche of these 33 species, 12 belong to invertivore glean arboreal, 8 to invertivore ground, and 6 to generalist (Table 1, Fig. 1). Seventeen species of the ringed birds are residential and 16 species are migratory. We found that common species appeared in the central of the social network. Moreover, species with the same trophic niche are grouped together in the social network. However, species with the same migration feature (either resident or migratory) appeared randomly in the network (Fig. 1). [Conclusions] These patterns indicated that the population size and trophic niche, but not migration, are important factors that influence the social network of species. In short, social network analysis is an advanced method for describing the structure of multi-species groups and investigating the mechanisms underlying collective behavior.