标题
Link prediction in social networks: the state-of-the-art
作者
关键词
social network, link prediction, dynamic network, similarity metric, learning model, 社交网络, 链接预测, 动态网络, 相似度量, 学习模型, 011101
出版物
Science China-Information Sciences
Volume 58, Issue 1, Pages 1-38
出版商
Springer Nature
发表日期
2014-12-03
DOI
10.1007/s11432-014-5237-y
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Vertex collocation profiles: theory, computation, and results
- (2014) Ryan N Lichtenwalter et al. SpringerPlus
- From biological to social networks: Link prediction based on multi-way spectral clustering
- (2013) Panagiotis Symeonidis et al. DATA & KNOWLEDGE ENGINEERING
- Hidden link prediction based on node centrality and weak ties
- (2013) Haifeng Liu et al. EPL
- Proximity measures for link prediction based on temporal events
- (2013) Paulo R.S. Soares et al. EXPERT SYSTEMS WITH APPLICATIONS
- Link Prediction in Social Networks Using Information Flow via Active Links
- (2013) Lankeshwara MUNASINGHE et al. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
- Followee recommendation based on text analysis of micro-blogging activity
- (2013) M.G. Armentano et al. INFORMATION SYSTEMS
- Group and link analysis of multi-relational scientific social networks
- (2013) Victor Ströele et al. JOURNAL OF SYSTEMS AND SOFTWARE
- Friendship prediction and homophily in social media
- (2012) Luca Maria Aiello et al. ACM Transactions on the Web
- Actively learning to infer social ties
- (2012) Honglei Zhuang et al. DATA MINING AND KNOWLEDGE DISCOVERY
- Recommendation as link prediction in bipartite graphs: A graph kernel-based machine learning approach
- (2012) Xin Li et al. DECISION SUPPORT SYSTEMS
- Collective transport of coupled particles
- (2012) D. Hennig et al. EUROPEAN PHYSICAL JOURNAL B
- Machine learning approach for finding business partners and building reciprocal relationships
- (2012) Junichiro Mori et al. EXPERT SYSTEMS WITH APPLICATIONS
- Time Score: A New Feature for Link Prediction in Social Networks
- (2012) Lankeshwara MUNASINGHE et al. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
- Fast and accurate link prediction in social networking systems
- (2012) Alexis Papadimitriou et al. JOURNAL OF SYSTEMS AND SOFTWARE
- Uncovering missing links with cold ends
- (2012) Yu-Xiao Zhu et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Predicting missing contacts in mobile social networks
- (2012) Kazem Jahanbakhsh et al. Pervasive and Mobile Computing
- Link prediction based on a semi-local similarity index
- (2011) Meng Bai et al. Chinese Physics B
- Link prediction in complex networks: A local naïve Bayes model
- (2011) Zhen Liu et al. EPL
- Temporal Link Prediction Using Matrix and Tensor Factorizations
- (2011) Daniel M. Dunlavy et al. ACM Transactions on Knowledge Discovery from Data
- Link prediction based on local random walk
- (2010) Weiping Liu et al. EPL
- Learning and Predicting the Evolution of Social Networks
- (2010) Bjoern Bringmann et al. IEEE INTELLIGENT SYSTEMS
- Link prediction in complex networks: A survey
- (2010) Linyuan Lü et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Predicting missing links via local information
- (2009) Tao Zhou et al. EUROPEAN PHYSICAL JOURNAL B
- Link prediction in a user–object network based on time-weighted resource allocation
- (2009) Ji Liu et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Similarity index based on local paths for link prediction of complex networks
- (2009) Linyuan Lü et al. PHYSICAL REVIEW E
- Missing and spurious interactions and the reconstruction of complex networks
- (2009) Roger Guimerà et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Hierarchical structure and the prediction of missing links in networks
- (2008) Aaron Clauset et al. NATURE
- Predicting unobserved links in incompletely observed networks
- (2007) David J. Marchette et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
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