Online Social Network Users Behavior Prediction Using Sampling Methods

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Provided by: International Journal of Computer & Organization Trends(IJCOT)
Topic: Networking
Format: PDF
The study regarding tracking community formation in social media sites is undoubtedly an active field of research. A collective pattern among the many cohesive subgroup of individuals inside a network is deemed being a community that's a partition of this very entire network structure. Recently, spectral clustering has grown to be possibly the most popular modern clustering algorithms. This exercise is easy to perform to include, might be solved efficiently by standard linear algebra method or incredibly often outperforms traditional clustering algorithms for example the k-means algorithm. Existing path to community tracking methods is based upon hierarchical clustering algorithm.
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