What characterizes influential users in online health communities (OHCs)? We hypothesize that (1) the emotional support received by OHC members can be assessed from their sentiment expressed in online interactions, and (2) such assessments can help to identify influential OHC members. Through text mining and sentiment analysis of users’ online interactions, we propose a novel metric that direct...

Background: Social networks have been widely utilized by a variety of popular review websites, and different users have a different impact on how information propagates through the network. Identifying influential users in such system could be beneficial for advertising purposes. Aim: To estimate the influence propagation probability for social ties in the network using review data which contai...

Recent international events surrounding contentious political environments have uncovered a new utility for social media. Communities now use resources such as Facebook and Twitter to quickly spread information and project influence amongst potentially geographically disparate people. In this work, we investigate Twitter activity in Egypt during the 2011 protests and revolution, and introduce a...

Information networks where users join a network, publish their own content, and create links to other are called Online Social Networks (OSNs). Nowadays, OSNs have become one of the major platforms promote both new viral applications as well disseminate information. network analysis is study these information that leads uncovering patterns interaction among entities. In this regard, finding inf...

INTRODUCTION Twitter has recently gained popularity in emergency medicine (EM). Opinion leaders on Twitter have significant influence on the conversation and content, yet little is known about these opinion leaders. We aimed to describe a methodology to identify the most influential emergency physicians (EP) on Twitter and present a current list. METHODS We analyzed 2,234 English-language EPs...

Predicting influential users is one of the important research problems on social network analysis. It helps to understand many complicated phenomena including information dissemination. It can be employed in many real world applications such as viral marketing. Influential users can influence social network users using their attributes, strategic locations or expertises. In this paper, we tackl...

For most social media sites, how to find out (influential) users’ professions is an important task. Much work has been conducted to explore this task through mining user-generated textual content or analyzing the social network structure. In this paper, we innovatively solve this task by only examining which microblog messages an influential user has forwarded. First, we define hot microblog me...