Author Correction: Unsupervised Scalable Statistical Method for Identifying Influential Users in Online Social Networks
نویسندگان
چکیده
منابع مشابه
Predicting Influential Users in Online Social Networks
Who are the influential people in an online social network? The answer to this question depends not only on the structure of the network, but also on details of the dynamic processes occurring on it. We classify these processes as conservative and non-conservative. A random walk on a network is an example of a conservative dynamic process, while information spread is non-conservative. The influ...
متن کاملIdentifying Users across Multiple Online Social Networks
An online user joins multiple social networks in order to enjoy different services. On each joined social network, she creates an identity and constitutes its three major dimensions namely profile, content and connection network. She largely governs her identity formulation on any social network and therefore can manipulate multiple aspects of it. With no global identifier to mark her presence ...
متن کاملIdentifying Influential Users in Social Network with Review Data
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...
متن کاملBotOnus: an online unsupervised method for Botnet detection
Botnets are recognized as one of the most dangerous threats to the Internet infrastructure. They are used for malicious activities such as launching distributed denial of service attacks, sending spam, and leaking personal information. Existing botnet detection methods produce a number of good ideas, but they are far from complete yet, since most of them cannot detect botnets in an early stage ...
متن کاملIdentifying the influential spreaders in multilayer interactions of online social networks
Online social networks (OSNs) portray a multi-layer of interactions through which users become a friend, information is propagated, ideas are shared, and interaction is constructed within an OSN. Identifying the most influential spreaders in a network is a significant step towards improving the use of existing resources to speed up the spread of information for application such as viral marketi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Scientific Reports
سال: 2019
ISSN: 2045-2322
DOI: 10.1038/s41598-019-43803-5