Results 11 to 20 of about 1,294,805 (273)
The Secure Link Prediction Problem [PDF]
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.
Ruj, Sushmita, Sardar, Laltu
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Multi-Scale Link Prediction [PDF]
The automated analysis of social networks has become an important problem due to the proliferation of social networks, such as LiveJournal, Flickr and Facebook. The scale of these social networks is massive and continues to grow rapidly.
Dhillon, Inderjit S. +2 more
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Pairwise link prediction [PDF]
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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Progresses and challenges in link prediction [PDF]
Link prediction is a paradigmatic problem in network science, which aims at estimating the existence likelihoods of nonobserved links, based on known topology. After a brief introduction of the standard problem and metrics of link prediction, this Perspective will summarize representative progresses about local similarity indices, link predictability ...
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Classification using link prediction [PDF]
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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Causal lifting and link prediction
Existing causal models for link prediction assume an underlying set of inherent node factors—an innate characteristic defined at the node’s birth—that governs the causal evolution of links in the graph. In some causal tasks, however, link formation is path-dependent : the outcome of link ...
Leonardo Cotta +3 more
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Link Prediction in Directed Networks Utilizing the Role of Reciprocal Links
Link prediction in directed networks has always been a hot topic in many fields including network science, information system and data mining. Intuitively, once links are endowed with certain orientations, their reciprocate nature can potentially provide
Jinsong Li +5 more
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Link prediction method based on complex network dynamics model
Link prediction is an important part of the study of missing links and future formations in complex networks.Currently,network structure-based link prediction methods are rich in results.Research on link prediction based on complex network dynamics model
Yonghao PAN, Hongtao YU, Yiteng WU
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Similarity Index based Link Prediction Algorithms in Social Networks: A Survey
Social networking sites have gained much popularity in the recent years. With millions of people connected virtually generate loads of data to be analyzed to infer meaningful associations among links.
Pulipati Srilatha, Ramakrishnan Manjula
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A Systematic Analysis of Link Prediction in Complex Network
Link mining is an important task in the field of data mining and has numerous applications in informal community. Suppose a real-world complex network, the responsibility of this function is to anticipate those links which are not occurred yet in the ...
Haji Gul +3 more
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