遇见数据集

Last.fm Social Connections

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Zenodo2022-03-25 更新2026-05-25 收录
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This dataset contains a social network of Last.fm users that are part of the LFM-1b dataset [1] and has been created using the Last.fm API [2].<br> More specifically, we have adopted the breadth-first-search sampling strategy with LFM-1b users as seed nodes and crawled friends up to two hops away (friends and friends of friends). We have kept only those edges where both nodes connected by an edge are part of the original LFM-1b dataset. These edges are stored in the 'LFM-1b_social_ties.txt' file which contains 78,989 edges between 11,792 unique users.<br> Additionally, we have stored demographic and playcount information for each of these users in the 'LFM-1b_users.txt' file.<br> This dataset has been used as input for the purposes of studying homophily and link prediction with user preferences for mainstream, novelty, and diversity in music [3] and to reproduce the experiments from that study, we have also provided an open-source GitHub repository [4]. [1] http://www.cp.jku.at/datasets/LFM-1b/<br> [2] https://www.last.fm/api<br> [3] Duricic, T., Kowald, D., Schedl, M., &amp; Lex, E. (2021, November). My friends also prefer diverse music: homophily and link prediction with user preferences for mainstream, novelty, and diversity in music. In Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (pp. 447-454).<br> [4] https://github.com/tduricic/homophily-lastfm

本数据集包含隶属于LFM-1b数据集[1]的Last.fm用户社交网络,其构建依托Last.fm API[2]完成。 具体而言,我们采用以LFM-1b用户为种子节点的广度优先搜索(breadth-first-search)采样策略,对好友进行至多两跳的爬取(即好友及其好友的好友)。我们仅保留边两端节点均隶属于原始LFM-1b数据集的社交连接,此类社交关系存储于'LFM-1b_social_ties.txt'文件中,该文件包含11792名唯一用户间的78989条社交边。 此外,我们将所有此类用户的人口统计信息与播放量数据存储于'LFM-1b_users.txt'文件内。 本数据集已被用作研究用户音乐主流偏好、新颖性偏好与多样性偏好下的社交同质性(homophily)及链接预测任务的输入数据[3];为复现该研究中的实验流程,我们还提供了开源GitHub代码仓库[4]。 [1] http://www.cp.jku.at/datasets/LFM-1b/ [2] https://www.last.fm/api [3] Duricic T, Kowald D, Schedl M, Lex E. 我的好友同样偏好多样化音乐:基于用户音乐主流、新颖性与多样性偏好的社交同质性及链接预测[C]//2021年IEEE/ACM社交网络分析与挖掘进展国际会议论文集. 2021: 447-454. [4] https://github.com/tduricic/homophily-lastfm

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Zenodo
创建时间:
2022-03-24
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