Predicting who rated what in large-scale datasets
ACM SIGKDD Explorations Newsletter - Special issue on visual analytics
Semantic and Event-Based Approach for Link Prediction
PAKM '08 Proceedings of the 7th International Conference on Practical Aspects of Knowledge Management
Modeling relationship strength in online social networks
Proceedings of the 19th international conference on World wide web
Learning algorithms for link prediction based on chance constraints
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Structural link analysis and prediction in microblogs
Proceedings of the 20th ACM international conference on Information and knowledge management
Friendship prediction and homophily in social media
ACM Transactions on the Web (TWEB)
Transforming graph data for statistical relational learning
Journal of Artificial Intelligence Research
Link Prediction in a Modified Heterogeneous Bibliographic Network
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
On the use of mobility data for discovery and description of social ties
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Latent feature learning in social media network
Proceedings of the 21st ACM international conference on Multimedia
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We introduce a new approach to the problem of link prediction for network structured domains, such as the Web, social networks, and biological networks. Our approach is based on the topological features of network structures, not on the node features. We present a novel parameterized probabilistic model of network evolution and derive an efficient incremental learning algorithm for such models, which is then used to predict links among the nodes. We show some promising experimental results using biological network data sets.