Tracking online topics over time: understanding dynamic hashtag communities

Tracking online topics over time: understanding dynamic hashtag communities

Abstract Background Hashtags are widely used for communication in online media. As a condensed version of information, they characterize topics and discussions. For their analysis, we apply methods from network science and propose novel tools for tracing their dynamics in time-dependent data. The ob...

Full description

Bibliographic Details
Main Authors: Philipp Lorenz-Spreen, Frederik Wolf, Jonas Braun, Gourab Ghoshal, Nataša Djurdjevac Conrad, Philipp Hövel
Format: Article
Language:English
Published: SpringerOpen 2018-10-01
Series:Computational Social Networks
Subjects:
Online media
Hashtags
Temporal community detection
Random walk
Memory matching
Topic dynamics
Online Access:http://link.springer.com/article/10.1186/s40649-018-0058-6

Internet

http://link.springer.com/article/10.1186/s40649-018-0058-6

Similar Items