One of the central challenges of ego-centric or personal social network research is the quantity and quality of data that is required from research participants. In general, collecting data about increasingly larger ego-centric networks places an increasing burden on respondents. However, the recent development and increasing ubiquity of web applications that rely on social graphs present interesting new opportunities and challenges for data collection efforts. This chapter addresses this emerging context for social research, and reports the results of an experimental evaluation of an online computer-assisted self interview (CASI) survey tool called PASN (Propitious Aggregation of Social Networks). Personal networks acquired via the PASN tool were found to be larger and more diverse than those produced using standard survey methods, yet required significantly lower time investments from participants. The implications of new methods such as PASN for social network research are discussed, along with considerations and recommendations for future research.