April 2016
Intermediate to advanced
604 pages
25h 38m
English
book
Analyzing and Securing Social Networks
by Bhavani Thuraisingham, Satyen Abrol, Raymond Heatherly, Murat Kantarcioglu, Vaibhav Khadilkar, Latifur Khan
Content preview from Analyzing and Securing Social Networks
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189
17
Social Network Classification
through Data Partitioning
17.1 INTRODUCTION
One consideration for social network providers is that this data will accumulate over time. Because
of the highly desirable nature of social network longitudinal data, it is unlikely that a network such
as Facebook will ever delete data they obtain. Even if later revisions directly contradict previously
entered data, this is still valuable in tracking change in attitudes over time. Because of this, per-
forming calculations and inference on this data will become more difcult over time, because of
the size of this data. However, we now show that by intelligently exam ...
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I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.