… EnRenew algorithm aimed to identify a set of influential nodes via information entropy. Firstly,
the … nodes in social networks based on nodes’ spreading capability by information entropy. …

… based on the relative entropy, instead of the Euclidean distance. This is because, … social
networks, the similarity between users is the similarity of the information carried by the users…

… We apply these information redundancies in several classifiers to study their contributions
to user identification. Furthermore, we apply the friendship-based information redundancies …

… the network, including the identification of important nodes. … identify influential nodes on the
basis of the local information … the information in boxes through the Shannon entropy, which is …

… a rough set-based granular framework for social network analysis, which will act … entropy
of the real networks is shown in Fig. 4. The entropy decreases initially for all the real networks …

… The privacy that an adversary can obtain is evaluated by the the divergence between the
information entropy HšXŽ of the target node and the entropy HšXaŽ that an adversary has …

… It uses the principle of Entropy and Information Gain to build the decision tree. The entropy
is … The below-mentioned equation shows the entropy with two different attributes for our data …

… based on their interests and social connections has became a more and more important
challenge in literature. Community Detection … normalized conditional entropy between the two …

… outperform all traditional methods. For the first time in the literature, we offer to use entropy
… Equipping the proposed hybridized type aggregation techniques with the entropy calculation…

… According to the four kinds of main characteristics of nodes, we divide several basic centrality
methods into four groups and design different combination schemes. Then, we use entropy …