Survey of Generative Methods for Social Media Analysis
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Abstract (arXiv)
This survey draws a broad-stroke, panoramic picture of the State of the Art (SoTA) of the research in generative methods for the analysis of social media data. It fills a void, as the existing survey articles are either much narrower in their scope or are dated. We included two important aspects that currently gain importance in mining and modeling social media: dynamics and networks. Social dynamics are important for understanding the spreading of influence or diseases, formation of friendships, the productivity of teams, etc. Networks, on the other hand, may capture various complex relationships providing additional insight and identifying important patterns that would otherwise go unnoticed.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 113 of its 258 references that are in the map. First posted on arXiv 13 Dec 2021.
Builds on
113 of 258 references.
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38 more
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