… 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. …

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

… detection. To encompass the existing state-of-the-art, a few surveys have also been carried
out on fake user identification from … helpful in studying information on social media to know …

… are influenced by the recommendations they receive from … Marketer User Detection (IMUD)
is proposed, in which users’ … We use entropy divergence to specify the difference between …

… 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 …

… distinct privacy implications: information is so strongly embedded in a social network that, in
… in cross-entropy tells us how much information we lose by only having access to the alter’s …

… And it is also suitable for friend recommendation in social networks based the small-world …
information, measures the information shared by variables X and Y , H ( X ) is the entropy of …

… 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 …

… prediction method based on K-order Markov chains to solve the problem of centrality
prediction in Mobile Social Networks (MSNs). First, we use the information entropy to analyze the …

… users, it may also endanger the privacy of users. This is due to existence of sensitive information
about users in the social networks… and introduced an entropy-based quantification of the …