The growing network of relationship in social Snetwork has contributed to rising maximization of information diffusion by identifying the influential node through various centrality measures. The ...

To build up a logical and general strategy for clustering of complex networking phenomena based on the rigorous mathematical and physical model, we propose one method, not by an ad hoc assumption or ...

Using graph clustering, we improve accuracy of Kronecker social networks which are protected by differential privacy. Ensuring the differential privacy implicates addition of marginal changes to the ...