Proceedings:
Vol. 10 No. 1 (2016): Tenth International AAAI Conference on Web and Social Media
Volume
Issue:
Vol. 10 No. 1 (2016): Tenth International AAAI Conference on Web and Social Media
Track:
Full Papers
Downloads:
Abstract:
An active line of research has studied the detection and representation of trends in social media content. There is still relatively little understanding, however, of methods to characterize the early adopters of these trends: who picks up on these trends at different points in time, and what is their role in the system? We develop a framework for analyzing the population of users who participate in trending topics over the course of these topics' lifecycles. Central to our analysis is the notion of a {em status gradient}, describing how users of different activity levels adopt a trend at different points in time. Across multiple datasets, we find that this methodology reveals key differences in the nature of the early adopters in different domains.
DOI:
10.1609/icwsm.v10i1.14725
ICWSM
Vol. 10 No. 1 (2016): Tenth International AAAI Conference on Web and Social Media