Empirical Analysis of Traditional Link Prediction Methods
نویسندگان
چکیده
منابع مشابه
Empirical Analysis of Traditional Link Prediction Methods
Online Social Networks are growing exponentially due to which a lot of researchers are working on Social Network analysis. Link Prediction is a task of predicting new links that may occur in future in the social network. The link prediction problem has generated a lot of interest due its widespread applicability across many domains. We conducted a study on the different methods that have been d...
متن کاملEmpirical Analysis of Traditional Link Prediction Methods
Online Social Networks are growing exponentially due to which a lot of researchers are working on Social Network analysis. Link Prediction is a task of predicting new links that may occur in future in the social network. The link prediction problem has generated a lot of interest due its widespread applicability across many domains. We conducted a study on the different methods that have been d...
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Community detection and link prediction are both of great significance in network analysis, which provide very valuable insights into topological structures of the network from different perspectives. In this paper, we propose a novel community detection algorithm with inclusion of link prediction, motivated by the question whether link prediction can be devoted to improving the accuracy of com...
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The domain of link analysis has recently re-ignited interest among researchers due to its applicability to new areas such as intelligence analysis (for example, identifying cliques of suspicious people), large scale social network analysis and genomics. The area of link analysis is not new and comprise a number of techniques developed by different communities. In this paper we propose a statist...
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Link prediction is an important task for analying social networks which also has applications in other domains like, information retrieval, bioinformatics and e-commerce. There exist a variety of techniques for link prediction, ranging from feature-based classification and kernelbased method to matrix factorization and probabilistic graphical models. These methods differ from each other with re...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2015
ISSN: 0975-8887
DOI: 10.5120/21509-4296