Man-O-Meter:Modeling and Assessing the Evolution of Language Usage of Individuals on Microblogs
Language usage behavior of users evolves over time,as they interact on social media such as Twitter.We study the evolution of language usage behavior of individuals,across topics,on microblogs.We propose Man-O-Meter,a framework to model such evolution.We model the evolution using a combination of three dimensions: (a) time,(b) content (topics) and (c) influence flow over social relationships.We assert the goodness of our approach,by predicting ranks of experts,with respect to their influence in their respective expertise category,using the change in language used in time.We apply our framework on 2,273 influential microbloggers on Twitter,across 62 categories,spanning over 10 domains.Our work is applicable in predicting activity and influence,interest evolution,job change and community change expected to happen to a user,in future.
Kuntal Dey Saroj Kaushik Hemank Lamba Seema Nagar
Indian Institute of Technology(IIT),Delhi,India;IBM Research,Bangalore,India Indian Institute of Technology(IIT),Delhi,India Carnegie Mellon University,Pittsburgh,USA IBM Research,Bangalore,India
国际会议
International Asia-Pacific Web Conference(第18届国际亚太互联网大会)
苏州
英文
342-355
2016-09-23（万方平台首次上网日期，不代表论文的发表时间）