科研成果详情

题名Revisiting user mobility and social relationships in LBSNs: A hypergraph embedding approach
作者
发表日期2019-05-13
会议名称WWW '19: The World Wide Web Conference
会议录名称The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019
ISBN9781450366748
页码2147-2157
会议日期May 13-17, 2019
会议地点San Francisco, CA, USA
摘要

Location Based Social Networks (LBSNs) have been widely used as a primary data source to study the impact of mobility and social relationships on each other. Traditional approaches manually define features to characterize users' mobility homophily and social proximity, and show that mobility and social features can help friendship and location prediction tasks, respectively. However, these handcrafted features not only require tedious human efforts, but also are difficult to generalize. In this paper, by revisiting user mobility and social relationships based on a large-scale LBSN dataset collected over a long-term period, we propose LBSN2Vec, a hypergraph embedding approach designed specifically for LBSN data for automatic feature learning. Specifically, LBSN data intrinsically forms a hypergraph including both user-user edges (friendships) and user-time-POI-semantic hyperedges (check-ins). Based on this hypergraph, we first propose a random-walk-with-stay scheme to jointly sample user check-ins and social relationships, and then learn node embeddings from the sampled (hyper)edges by preserving n-wise node proximity (n = 2 or 4). Our evaluation results show that LBSN2Vec both consistently and significantly outperforms the state-of-the-art graph embedding methods on both friendship and location prediction tasks, with an average improvement of 32.95% and 25.32%, respectively. Moreover, using LBSN2Vec, we discover the asymmetric impact of mobility and social relationships on predicting each other, which can serve as guidelines for future research on friendship and location prediction in LBSNs.

关键词Embeddings Hypergraph Link prediction Location based social network Mobility Social relationship
DOI10.1145/3308558.3313635
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收录类别CPCI-S
语种英语English
WOS研究方向Computer Science
WOS类目Computer Science, Theory & Methods
WOS记录号WOS:000483508402020
Scopus入藏号2-s2.0-85066897468
引用统计
被引频次:223[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/9015
专题个人在本单位外知识产出
作者单位
University of Fribourg,Switzerland
推荐引用方式
GB/T 7714
Yang, Dingqi,Qu, Bingqing,Yang, Jieet al. Revisiting user mobility and social relationships in LBSNs: A hypergraph embedding approach[C], 2019: 2147-2157.
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