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Research on generative models plays a central role in the emerging field of network science, studying how statistical patterns found in real networks could be generated by formal rules. Output from these generative models is then the basis for designing and evaluating computational methods on networks including verification and simulation studies. During the last two decades, a variety of models has been proposed with an ultimate goal of achieving comprehensive realism for the generateddoi:10.1007/s41109-017-0054-z pmid:30533515 pmcid:PMC6225971 fatcat:2rdb2j6q4bgifepkgeoxz5dx2e