… have selected and studied the areas of Politics, detection of fake news, and Multimedia in
OSNs. … this analysis could discard some relevant authors or publications, which did not use the …

… , which is employed to identify and understand students’ … Sociologists use network analysis
techniques to examine the … in the current study reveal that social network analysis can be a …

… information irrelevance and overload induce social network fatigue, and the relationship of
these variables to users’ information avoidance behavior. … In this study, we identify information …

… to use multiple information channels to handle information cues … Third, the results of our
paper identified a unique and novel … different patterns of user engagement behavior on posts …

… The active users generated massive data from their activities, … to conduct various social
network analyses. Recent … Influence analysis helps to understand people's social behaviors and …

… roles of social identification and satisfaction. The participants in this study were experienced
users of two social media … The information posted on social media platforms by an individual …

… -based classifiers due to limited data. In future, we will use more data and train deep learning
methods to identify … , artificial intelligence, and social network analysis. She has authored or …

… eg lecturers and teachers) can identify the students’ goal and … Affective-based trust involves
the emotional and social skills … study investigates users’ cognition, affection and behavior …

… Social network analysis … After preprocessing of social networking data and webpage contents,
we use SentiWordNet (SWN) to identify the polarity of the opinion words of the features [62]…

… In the present study, we identified … the analysis of user data in social networks and digital
markets. Our results suggest that, using DDI, companies personalize their messages based on …