… influential users in a given online healthcare support forum. Secondly, we describe how to
construct social networks based … to compute user influence within the online social network. …

… the influential users given the user interactions of a social media platform rather than the
influence … to compute the user influence by combining content-based and network-based …

… the directed influence graph, … influence graph with the social network graph. Thus, we
found the proportion of edges in the social network that were common with the directed influence …

… defining the concept of influence on social groups, and we describe how it can be quantitatively
measured starting from the interactions that occurred among group members. Then, we …

… to identify influential users in online social networks on the basis of a simple metric of their
activity level. In this article, we consider a user “influential” in a social network if his or her …

… IRR total, we do not have to repeatedly process all historical data and construct a new social
network, as when updating betweenness or PageRank centralities. Instead, we can simply …

… together in a social network. Within each theme-based social network, Opinion Leaders
were identified as people who had the highest degree. These people were considered to be …

… of the phenomenon Online Social Networks (OSN), identifying influential users in OSN has
… users’ connectivity and activity but hardly consider further characteristics of influential users. …

… , we detect influential communities or kernels on the social network in the respect of their
generated impacts to the activities or actions of other users in the system, which include users’ …

… , the influence of social media on peoples’ online … social media users. This study shows
that most people (89.8%, 397/442) used WhatsApp and 78.3% (311/397) of social media users …