Add to ORKGLink prediction is one of central tasks in the study of social network evolution and has many applications. In this paper, we use time series to describe node behavior, extract temporal features from the time series to characterize behavior evolution of nodes, and use the temporal features for link prediction. Our experimental results on several real datasets suggest that including the temporal features developed in the paper significantly improve link prediction performance
Online network systems have become popular in many social, biological and information system in rece...
The challenge in predicting future links over large scale networks (social networks) is not only mai...
We propose a new method for characterizing the dynamics of complex networks with its application to ...
Link prediction is a task in Social Network Analysis that consists of predicting connections that ar...
The analysis of social networks often assumes the time invariant scenario while in practice node att...
The question of how to predict which links will form in a graph, given the graph's history, is an op...
Abstract. The analysis of social networks often assumes the time invariant scenario while in practic...
The question of how to predict which links will form in a graph, given the graph's history, is an op...
Prediction of links - both new as well as recurring - in a social network representing interactions ...
Prediction of links - both new as well as recurring - in a social network representing interactions ...
Prediction of links - both new as well as recurring - in a social network representing interactions ...
Many real world, complex phenomena have an underlying structure of evolving networks where nodes and...
Link prediction is a well-studied technique for inferring the missing edges between two nodes in som...
Many real world, complex phenomena have underlying structures of evolving networks where nodes and l...
Prediction of links- both new as well as recurring- in a social net-work representing interactions b...
Online network systems have become popular in many social, biological and information system in rece...
The challenge in predicting future links over large scale networks (social networks) is not only mai...
We propose a new method for characterizing the dynamics of complex networks with its application to ...
Link prediction is a task in Social Network Analysis that consists of predicting connections that ar...
The analysis of social networks often assumes the time invariant scenario while in practice node att...
The question of how to predict which links will form in a graph, given the graph's history, is an op...
Abstract. The analysis of social networks often assumes the time invariant scenario while in practic...
The question of how to predict which links will form in a graph, given the graph's history, is an op...
Prediction of links - both new as well as recurring - in a social network representing interactions ...
Prediction of links - both new as well as recurring - in a social network representing interactions ...
Prediction of links - both new as well as recurring - in a social network representing interactions ...
Many real world, complex phenomena have an underlying structure of evolving networks where nodes and...
Link prediction is a well-studied technique for inferring the missing edges between two nodes in som...
Many real world, complex phenomena have underlying structures of evolving networks where nodes and l...
Prediction of links- both new as well as recurring- in a social net-work representing interactions b...
Online network systems have become popular in many social, biological and information system in rece...
The challenge in predicting future links over large scale networks (social networks) is not only mai...
We propose a new method for characterizing the dynamics of complex networks with its application to ...