Related papers: Survey of Generative Methods for Social Media Analysis

Survey of Generative Methods for Social Media Analysis

URL: http://arxiv.org/abs/2112.07041v1
Date: Mon, 13 Dec 2021 22:03:40 GMT
Title: Survey of Generative Methods for Social Media Analysis
Authors: Stan Matwin, Aristides Milios, Pawe{\l} Pra{\l}at, Amilcar Soares, Fran\c{c}ois Th\'eberge
Abstract summary: 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.
Score: 8.070451136537788
License: http://creativecommons.org/licenses/by/4.0/
Abstract: 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.

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