… function to identify the periodicity of the posting time series. Then we study the individual … Thus we believe the hourly postingpattern can be a good feature for predicting users’ …
K Deng, L Xing, L Zheng, H Wu, P Xie, F Gao - IEEE Access, 2019 - ieeexplore.ieee.org
… pattern mining-based cross-social network useridentification algorithm that analyzes … User-generated data-based useridentification mainly relies on the timing of blog postings, the …
DJ Joshi, N Supekar, R Chauhan… - Proceedings of the 4th …, 2017 - dl.acm.org
… data at a snapshot and have not gone for analysis of user … time sequenced data of user tweet communication to identify non-… In order to identify this threshold we use iterative clustering. …
… userposting behavior at an individual (micro) level and apply LDA to cluster user temporal patterns and … , we study individual user’s posting behaviors and identify their hidden patterns. …
… messages written by an active user in the same period… identify these robot accounts using a classification approach based on a number of observable features related to activity patterns …
… 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 userID, scroll and …
… # of sessions per userID … To see the usage pattern of heavy OSN users, we also show in Figure 2 the … ) and participation-oriented behaviors like posting in a community topic (activity 32) …
R Chew, C Kery, L Baum, T Bukowski… - JMIR Public Health …, 2021 - publichealth.jmir.org
… public health agencies identify age-related target audiences on Reddit. Our results also suggest that there are characteristics of Reddit users’ posting behavior, linguistic patterns, and …