A Twitter (user-hashtag interactions) dataset of 705,632 nodes and 1,890,661 edges, collected by Munmun De Choudhury et al. via Twitter API. Each record contains directed: False, weighted: True, signed: False, temporal: True. Bipartite temporal network linking Twitter users to hashtags they used, with Unix timestamps. Useful for studying hashtag adoption, information diffusion, and user interest modeling.. Suitable for hashtag analysis, bipartite network analysis, information diffusion.
A #petpeeve (annoying behaviors) dataset of 3,375 tweets labeled with annoying behavior categories, collected by Wang and Yang via Twitter API (2015). Each record contains tweet text and annoying behavior category label. The dataset is notable for its dataset for automatic categorization of annoying behaviors using lexical and frame-semantic embeddings. Intended for research into social media analysis, text classification, and behavioral categorization.
A Pew Research Center dataset of 11 annual survey waves spanning 2012–2025, collected by Pew Research Center via annual US adult surveys. Each record contains survey year, platform-specific adoption percentages for US adults. Annual survey tracking US adult adoption rates across all major social media platforms from 2012 to the present. Suitable for social media adoption trends, platform popularity analysis, digital behavior research, longitudinal survey analysis.
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