This write-up adds a much-needed update to Muller et al.’s (1999), “how to use SPSS to study ego-centered networks” by reviewing the process of restructuring and transposing name generator survey data in SPSS. Key takeaways: (1) prep your data with a simple, sequential naming scheme, (2) restructure “variables into cases” and ensure your named variable groups are those which need to be transposed, (3) categorize key ego-level variables as “fixed” and generate a cluster ID (index) variable to help with MLM analysis, and, lastly, (4) save the restructuring command in SPSS syntax to verify and ensure all steps were completed correctly. Good luck!