Temporal Analysis of Drifting Hashtags in Textual Data Streams: A Graph-Based Application

arXiv:2402.10230v1 Announce Type: cross
Abstract: Social media has played an important role since its emergence. People use the internet to express opinions about anything, making social media platforms a social sensor. Initially supported by Twitter, the hashtags are now in use on several social media platforms. Hashtags are helpful to tag, track, and group posts on similar topics. In this paper, we analyze hashtag drifts over time using concepts from graph analysis and textual data streams using the Girvan-Newman method …

abstract analysis application arxiv cs.lg cs.si data data streams emergence express graph graph-based internet making media opinions people platforms role sensor social social media social media platforms temporal textual twitter type