Revealing the mechanisms underlying spatial biodiversity patterns is a challenge for biologists. Using network analysis and statistical methods, we analyzed the data of distribution of various ant species of genera Strumigenys and Camponotus to find biogeographic modules of species and areas around the world. We quantify the network “role” for each species and area, which represents connectivity within and among modules. We identified 13 modules for Strumigenys and 11 for Camponotus. The modules corresponded to contiguous geographic areas and identified hub species, which inhabit many different areas, and a large number of other species that live in only a limited number of regions. We also measured the extent to which a species has connections within and between communities (within-module degree and participation coefficient). We found a positive correlation in the within-module degree between Strumigenys and Camponotus, but not in the participation coefficient. These results demonstrate how network analysis can be used to identify general patterns of biogeographic modularity and correspondence between modules in ants. Moreover, quantifying network roles of each species and area will help guide conservation efforts.