Link Prediction Methods and Their Accuracy for Different Social Networks and Network Metrics
Joint Authors
Musial, Katarzyna
Gao, Fei
Cooper, Colin
Tsoka, Sophia
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-16
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Currently, we are experiencing a rapid growth of the number of social-based online systems.
The availability of the vast amounts of data gathered in those systems brings new challenges that we face when trying to analyse it.
One of the intensively researched topics is the prediction of social connections between users.
Although a lot of effort has been made to develop new prediction approaches, the existing methods are not comprehensively analysed.
In this paper we investigate the correlation between network metrics and accuracy of different prediction methods.
We selected six time-stamped real-world social networks and ten most widely used link prediction methods.
The results of the experiments show that the performance of some methods has a strong correlation with certain network metrics.
We managed to distinguish “prediction friendly” networks, for which most of the prediction methods give good performance, as well as “prediction unfriendly” networks, for which most of the methods result in high prediction error.
Correlation analysis between network metrics and prediction accuracy of prediction methods may form the basis of a metalearning system where based on network characteristics it will be able to recommend the right prediction method for a given network.
American Psychological Association (APA)
Gao, Fei& Musial, Katarzyna& Cooper, Colin& Tsoka, Sophia. 2015. Link Prediction Methods and Their Accuracy for Different Social Networks and Network Metrics. Scientific Programming،Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1076501
Modern Language Association (MLA)
Gao, Fei…[et al.]. Link Prediction Methods and Their Accuracy for Different Social Networks and Network Metrics. Scientific Programming No. 2015 (2015), pp.1-13.
https://search.emarefa.net/detail/BIM-1076501
American Medical Association (AMA)
Gao, Fei& Musial, Katarzyna& Cooper, Colin& Tsoka, Sophia. Link Prediction Methods and Their Accuracy for Different Social Networks and Network Metrics. Scientific Programming. 2015. Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1076501
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1076501