Output details

Feasibility of structural network clustering for group-based privacy control in social networks

<21>Other researchers have used our findings and techniques to develop mechanisms for grouping contacts for policy management (e.g [Cheek and Shehab, 2012]). Our identification of useful data and algorithms for automation has encouraged researchers to consider additional data to augment automated privacy controls (e.g. [Wiese et al., 2011], [Brown et al., 2012]). Our work here has set a benchmark against which the performance of new features is tested (e.g. [Bejugam and LeFevre, 2011], [Amershi et al., 2012), and has contributed to enabling automatic identification of network-based groups for many other applications (e.g. [Kurdyukova et al., 2011], [Kostakos et al., 2011]).