… of user generated content; and (iii) embedding based on user name, real name and description.
Using a Twitter and Flickr dataset of users and their posting … of user identification across …

… [27] utilized statuses and comments posted by users to implement user identification across
… behavior pattern in order to solve the user identification problem. Li et al. [29] designed a …

… pattern mining-based cross-social network user identification algorithm that analyzes …
User-generated data-based user identification mainly relies on the timing of blog postings, the …

… engagement, such as frequency of posting tips. Another group are … In order to find patterns
of interactions in the collected data, … of these online behaviour patterns. For this reason, we …

… For instance, with an accurate activity prediction model, an OHC can identify users who are
… patterns and user behaviors of an online smoking cessation intervention program. J. Assoc. …

… then use the expectation-maximization (EM) algorithm to identify … uncertainty levels in
online-postings. Our approach reveals the … We use the real-world data from online-postings to …

… While other studies investigate users’ sentiment patterns. For … cluster structure and identify
different user types. However, … , access the user’s timeline based on the user ID, scroll and …

… also help analyze user migration patterns and guide web de… user identity pairs can be
acquired from user self-posting … a Friend RelationshipBased User identification framework, …

… a user ID (or username) as input and uses the FB API to collect the posts published by the
user … We find a very interesting pattern that correlates the similarity to the inter-posting interval. …

… Content, generated by users of social networks, is an important source of information,
which could be effectively used to identify implicit patterns of users posting behavior. …