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Link prediction is a task that in graph-based data models, as well as, in complex networks not only to predict edges that will appear in a near future but also to find missing edges. NELL is a never ending language learner system that has the ability to continuously learn to extract structured information from unstructured text (fetched from web pages) and map this information to a continuously growing...
Complex networks have been receiving increasing attention by the scientific community, also due to the availability of massive network data from diverse domains. One problem largely studied so far is Link Prediction, i.e. the problem of predicting new upcoming connections in the network. However, one aspect of complex networks has been disregarded so far: real networks are often multidimensional,...
Link prediction is an important issue in social network analysis. It aims at estimating the likelihood of the existence of links between nodes by the known network information. Although this problem has been extensively studied, many significant factors about how to calculate the similarity between two nodes remains unexplored and largely open, especially for the mobile phone networks. We are first...
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