skip to main content
10.1145/2487788.2487802acmotherconferencesArticle/Chapter ViewAbstractPublication PagesthewebconfConference Proceedingsconference-collections
poster

Link prediction in social networks based on hypergraph

Published: 13 May 2013 Publication History

Abstract

In recent years, online social networks have undergone a significant growth and attracted much attention. In these online social networks, link prediction is a critical task that not only offers insights into the factors behind creation of individual social relationship but also plays an essential role in the whole network growth. In this paper, we propose a novel link prediction method based on hypergraph. In contrast with conventional methods that using ordinary graph, we model the social network as a hypergraph, which can fully capture all types of objects and either the pair wise or high-order relations among these objects in the network. Then the link prediction task is formulated as a ranking problem on this hypergraph. Experimental results on Sina-Weibo dataset have demonstrated the effectiveness of our methods.

References

[1]
Bu, J., Tan, S., Chen, C., et al. Music recommendation by unified hypergraph combining social media information and music content. In Proc. MM, pages 391--400, 2010.
[2]
Liben-Nowell, D. and Kleinberg, J. The link prediction problem for social networks. In Proc. CIKM, pages 556--559, 2003.
[3]
Lin, Y. R., Sun, J., Castro, P., Konuru, R., Sundaram, H., and Kelliher, A. Metafac: community discovery via relational hypergraph factorization. In Proc. KDD, pages 527--536, 2009.
[4]
Yin, Z., Gupta, M., Weninger, T., and Han, J. LINKREC: a unified framework for link recommendation with user attributes and graph structure. In Proc. WWW, pages 1211--1212, 2010.
[5]
Zhou, D., Huang, J., and Scholkopf, B. Learning with hypergraphs: Clustering, classification, and embedding. In Proc. NIPS, pages 1601--1608, 2007.

Cited By

View all
  • (2025)Adaptive Neural Message Passing for Inductive Learning on HypergraphsIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2024.343448347:1(19-31)Online publication date: Jan-2025
  • (2025)Link Prediction in Complex Hyper-Networks Leveraging HyperCentralityIEEE Access10.1109/ACCESS.2025.353024513(12239-12254)Online publication date: 2025
  • (2024)Online course evaluation model based on graph auto-encoderIntelligent Data Analysis10.3233/IDA-23055728:6(1467-1489)Online publication date: 15-Nov-2024
  • Show More Cited By

Index Terms

  1. Link prediction in social networks based on hypergraph

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    WWW '13 Companion: Proceedings of the 22nd International Conference on World Wide Web
    May 2013
    1636 pages
    ISBN:9781450320382
    DOI:10.1145/2487788
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    Sponsors

    • NICBR: Nucleo de Informatcao e Coordenacao do Ponto BR
    • CGIBR: Comite Gestor da Internet no Brazil

    In-Cooperation

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 13 May 2013

    Check for updates

    Author Tags

    1. hypergraph
    2. link prediction
    3. ranking

    Qualifiers

    • Poster

    Conference

    WWW '13
    Sponsor:
    • NICBR
    • CGIBR
    WWW '13: 22nd International World Wide Web Conference
    May 13 - 17, 2013
    Rio de Janeiro, Brazil

    Acceptance Rates

    WWW '13 Companion Paper Acceptance Rate 831 of 1,250 submissions, 66%;
    Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)61
    • Downloads (Last 6 weeks)6
    Reflects downloads up to 16 Feb 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2025)Adaptive Neural Message Passing for Inductive Learning on HypergraphsIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2024.343448347:1(19-31)Online publication date: Jan-2025
    • (2025)Link Prediction in Complex Hyper-Networks Leveraging HyperCentralityIEEE Access10.1109/ACCESS.2025.353024513(12239-12254)Online publication date: 2025
    • (2024)Online course evaluation model based on graph auto-encoderIntelligent Data Analysis10.3233/IDA-23055728:6(1467-1489)Online publication date: 15-Nov-2024
    • (2024)Predicting hyperlinks via weighted hypernetwork loop structureThe European Physical Journal Special Topics10.1140/epjs/s11734-024-01145-y233:4(863-877)Online publication date: 14-Mar-2024
    • (2024)Heterogeneous Hypergraph Embedding for Node Classification in Dynamic NetworksIEEE Transactions on Artificial Intelligence10.1109/TAI.2024.34506585:11(5465-5477)Online publication date: Nov-2024
    • (2024)Human Action Recognition with Multi-Level Granularity and Pair-Wise Hyper GCN2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG)10.1109/FG59268.2024.10582032(1-10)Online publication date: 27-May-2024
    • (2024)PH-GCN: Boosting Human Action Recognition Through Multi-Level Granularity With Pair-Wise Hyper GCNIEEE Access10.1109/ACCESS.2024.347732112(162608-162621)Online publication date: 2024
    • (2024)The Structure-sharing Hypergraph Reasoning Attention Module for CNNsExpert Systems with Applications10.1016/j.eswa.2024.125240(125240)Online publication date: Aug-2024
    • (2024)Persistent homology based Bottleneck distance in hypergraph productsApplied Network Science10.1007/s41109-024-00617-39:1Online publication date: 23-Apr-2024
    • (2024)Hyper-3DG: Text-to-3D Gaussian Generation via HypergraphInternational Journal of Computer Vision10.1007/s11263-024-02298-yOnline publication date: 16-Dec-2024
    • Show More Cited By

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media