Our latest article has been published in the Social Network Analysis and Mining, a journal by Springer Nature.

In this paper, Kate Barnes, Péter Juhász, Marcell Nagy, and Roland Molontay explore the interconnected topic dynamics across traditional news sources and social media platforms, emphasizing the influential role of topicality in shaping content popularity in social media.

By analyzing 120 New York Times topics and comparing them with 899,766 image-with-text memes from Reddit, the study reveals that social media content often aligns with the same topical patterns seen in news outlets.