Results 11 to 20 of about 3,430,428 (283)
The Secure Link Prediction Problem [PDF]
Advances in Mathematics of Communications, 2019 Link Prediction is an important and well-studied problem for social networks. Given a snapshot of a graph, the link prediction problem predicts which new interactions between members are most likely to occur in the near future.
Sushmita Ruj, Laltu Sardar
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Progresses and challenges in link prediction [PDF]
iScience, 2021 Summary: Link prediction is a paradigmatic problem in network science, which aims at estimating the existence likelihoods of nonobserved links, based on known topology.
Tao Zhou
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Link prediction with hyperbolic geometry [PDF]
Physical Review Research, 2020 Link prediction is a paradigmatic problem in network science with a variety of applications. In latent space network models this problem boils down to ranking pairs of nodes in the order of increasing latent distances between them. The network model with
Maksim Kitsak +2 more
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Link Prediction Based on Subgraph Evolution in Dynamic Social Networks [PDF]
We propose a new method for characterizing the dynamics of complex networks with its application to the link prediction problem. Our approach is based on the discovery of network subgraphs (in this study: triads of nodes) and measuring their transitions ...
Musial, Katarzyna +2 more
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Improved Link Prediction Using PCA [PDF]
International Journal of Analysis and Applications, 2019 Link Prediction is known as a challenging problem in the area of online social media. Earlier, learning model for link prediction task has been proposed by many researchers. But the classification of imbalanced and high dimensional data is an interesting
. Ankita, Nanhay Singh
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Beyond Accuracy in Link Prediction
, 2020 Link prediction has mainly been addressed as an accuracy-targeting problem in social network analysis. We discuss different perspectives on the problem considering other dimensions and effects that the link prediction methods may have on the network ...
Sanz-Cruzado Puig, Javier +3 more
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Probabilistic Approach to Structural Change Prediction in Evolving Social Networks [PDF]
, 2012 We propose a predictive model of structural changes in elementary subgraphs of social network based on Mixture of Markov Chains. The model is trained and verified on a dataset from a large corporate social network analyzed in short, one day-long time
Musial, Katarzyna +4 more
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Pairwise link prediction [PDF]
Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2019 Link prediction is a common problem in network science that transects many disciplines. The goal is to forecast the appearance of new links or to find links missing in the network. Typical methods for link prediction use the topology of the network to predict the most likely future or missing connections between a pair of nodes.
Huda Nassar +2 more
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Classification using link prediction [PDF]
Neurocomputing, 2019 Link prediction in a graph is the problem of detecting the missing links that would be formed in the near future. Using a graph representation of the data, we can convert the problem of classification to the problem of link prediction which aims at finding the missing links between the unlabeled data (unlabeled nodes) and their classes.
Seyed Amin Fadaee, Maryam Amir Haeri
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Evaluating link prediction methods [PDF]
Knowledge and Information Systems, 2014 Link prediction is a popular research area with important applications in a variety of disciplines, including biology, social science, security, and medicine. The fundamental requirement of link prediction is the accurate and effective prediction of new links in networks.
Yang Yang 0008 +2 more
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