… : (i) Profile Similarity model based on various user profile … on temporal patterns in the
posting of UGCs; and (iii) Profile … on textual features in the user profile. All models are then fed …

… for profiling users based on their posting activities. We believe our approach will complement
other methods of user profiling … posting pattern can be a good feature for predicting users’ …

… We believe our approach will complement other methods of user profiling based on static …
Thus we believe the hourly posting pattern can be a good feature for predicting users’ …

… to detect either spammers or spam tweets on Twitter: User profile based methods [8], [9]
build classifiers using features extracted from account profiles. Content-based features [3], [10] …

… , hints (evaluations or recommendations) posted by other users, reflecting their positive
or … the way Facebook users interact, aiming to find behavioural patterns regarding their …

… patterns and metrics can help us spot surprising behaviors and anomalies. For example,
we find a user posting … Furthermore, prior studies on user profiling have typically focused on …

… that the activity pattern or time profile of a user seemed to be … discussion board users have
different preferences for posting, and … distance) to calculate the similarity among user profiles. …

… patterns and user intentions. For example, it is reported that … in [9] and the entity-based user
profile in [2] (The AlchemyAPI is … on their cosine similarities with user profiles. We repeat the …

… We perform this analysis on over a billion posted messages … of timezone and location on user
activity patterns. Kwak et al. [… user reaction profiles across Twitter and Facebook for users in …

… We first collected a set of active users, who have recently posted tweets through the cross-linking
functionality … In summary, user behaviour patterns are tightly knit to users’ demographic …