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This is a subset of the LFM-1b LastFM dataset (http://www.cp.jku.at/datasets/LFM-1b/), which consists of the listening events (user_events.txt) for three user groups: 1,000 low-mainstream users (low_main_users.txt), 1,000 medium-mainstream users (medium_main_users.txt) and 1,000 high-mainstream users (high_main_users.txt). The mainstreaminess definition used here is the "M_global_R_APC" one from this paper: https://arxiv.org/ftp/arxiv/papers/1912/1912.06933.pdf The format of the three user files is "user , mainstreaminess_value" The format of the user-events file is "user \t artist \t album \t track \t timestamp" Example Python-code for analyzing this dataset as well as more information on the user groups based on mainstreaminess can be found here: https://github.com/domkowald/LFM_processing
LastFM, Music Recommendation, Mainstreaminess
LastFM, Music Recommendation, Mainstreaminess
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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