نتایج جستجو برای: influential users
تعداد نتایج: 232686 فیلتر نتایج به سال:
Influential users play an important role in online social networks since users tend to have an impact on one other. Therefore, the proposed work analyzes users and their behavior in order to identify influential users and predict user participation. Normally, the success of a social media site is dependent on the activity level of the participating users. For both online social networking sites...
Identifying social influence in networks is critical to understanding how behaviors spread. We present a method that uses in vivo randomized experimentation to identify influence and susceptibility in networks while avoiding the biases inherent in traditional estimates of social contagion. Estimation in a representative sample of 1.3 million Facebook users showed that younger users are more sus...
Abstract Extensive spread of situational information is important for communities in response to crises/disasters. Among various mechanisms affecting the on social media, influential users play a critical role enhancing spread. This study examines attributes and activities local as well their interactions with ordinary Twitter during 2017’s Hurricane Harvey. The results show that influence acro...
Unsupervised Scalable Statistical Method for Identifying Influential Users in Online Social Networks
Fans of niche sports generally find minimal content in mainstream media due to their limited audience. Instead, social offers them the opportunity follow these specific sports. The dynamics behind digital are based on individual participation, hence some prominent users lead conversation thanks capacity influence. However, complexity concept influence and existence multiple parameters for its m...
As key roles of online social networks, influential users in micro-blogging have the ability to influence the attitudes or behaviour of others. When it comes to marketing, the users’ influence should be associated with a certain topic or field on which people have different levels of preference and expertise. In order to identify and predict influential users in a specific topic more effectivel...
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