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To preserve privacy, k-anonymity on relational, set-valued, and graph data have been studied extensively in recent years. Information on social networks can be modeled as un-weighted or weighted graph data for sharing and publishing. We have previously proposed k-anonymous path privacy concept on weighted social graphs to preserve privacy of the shortest path [9]. A published social network graph...
The increasing popularity of social networks has generated tremendous amount of data to be exploited for commercial, research and many other valuable applications. However, the release of these data has raised an issue that personal privacy may be breached. Current practices of simply removing all identifiable personal information (such as names and social security numbers) before releasing the data...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.