… address these two main issues by bringing together both decision Making approaches and
opinion dynamics to develop a similarity-confidence-consistency based Social network that …

… trust relationships among decision makers in the large group. We use social network analysis
and a … For a social network with m nodes, we introduce several important concepts in SNA: …

… of users interacting between each other under a virtual identity. These … social media channels
permit users to build various explicit or implicit social relationships, to leverage the network …

… search of existing community detection methods for node-attributed social networks. What is
… of them based on when and how they use and fuse network structure and attributes. We not …

… Different types of entities have different attributes or labels that can help us analyze them
more richly. Links between entities generally represent relationships, including co-authors, …

… two different attributes for our data set. (2) E (T,X) = ∑ c ϵ X P c E ( c ) Also, the decision …
based deep learning classifier for better decision making with more datasets. Also, we can …

… and popular online social network analysis problems with … social network data and social
network problems. Unlike other individual studies we have gathered 21 online social network …

… process and its approaches. In section 4, we present existing link prediction applications
that focus on social networks such as anomaly detection, … basis for decision making, public …

… in the form of a multiple attribute decision matrix as the preference of decision maker. …
The social network has been studied widely in GDM in recent years [1], [16], [17], [23], [25], […

… In this section, a case study of Amazon, the commerce social network, is … different categories
according to the type of duplicate review detected: duplicates from different user identifier …