Identifying Missing and Spurious Interactions in Directed Networks

Recent years, the studies of link prediction have been overwhelmingly emphasizing on undirected networks. Compared with it, how to identify missing and spurious interactions in directed networks has received less attention and still is not well understood. In this paper, we make use of classical lin...

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Main Authors: Xue Zhang, Chengli Zhao, Xiaojie Wang, Dongyun Yi
Format: Article
Language:English
Published: Hindawi - SAGE Publishing 2015-09-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2015/507386
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author Xue Zhang
Chengli Zhao
Xiaojie Wang
Dongyun Yi
author_facet Xue Zhang
Chengli Zhao
Xiaojie Wang
Dongyun Yi
author_sort Xue Zhang
collection DOAJ
description Recent years, the studies of link prediction have been overwhelmingly emphasizing on undirected networks. Compared with it, how to identify missing and spurious interactions in directed networks has received less attention and still is not well understood. In this paper, we make use of classical link prediction indices for undirected networks, adapt them to directed version which could predict both the existence and direction of an arc between two nodes, and investigate their prediction ability on six real-world directed networks. Experimental results demonstrate that those modified indices perform quite well in directed networks. Compared with bifan predictor, some of them can provide more accurate predictions.
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spelling doaj.art-47cf138affb14598b42dfcd5267376de2023-08-02T02:03:30ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772015-09-011110.1155/2015/507386507386Identifying Missing and Spurious Interactions in Directed NetworksXue Zhang0Chengli Zhao1Xiaojie Wang2Dongyun Yi3 School of Science, National University of Defense Technology, Changsha 410073, China School of Science, National University of Defense Technology, Changsha 410073, China School of Science, National University of Defense Technology, Changsha 410073, China State Key Laboratory of High Performance Computing, National University of Defense Technology, Changsha 410073, ChinaRecent years, the studies of link prediction have been overwhelmingly emphasizing on undirected networks. Compared with it, how to identify missing and spurious interactions in directed networks has received less attention and still is not well understood. In this paper, we make use of classical link prediction indices for undirected networks, adapt them to directed version which could predict both the existence and direction of an arc between two nodes, and investigate their prediction ability on six real-world directed networks. Experimental results demonstrate that those modified indices perform quite well in directed networks. Compared with bifan predictor, some of them can provide more accurate predictions.https://doi.org/10.1155/2015/507386
spellingShingle Xue Zhang
Chengli Zhao
Xiaojie Wang
Dongyun Yi
Identifying Missing and Spurious Interactions in Directed Networks
International Journal of Distributed Sensor Networks
title Identifying Missing and Spurious Interactions in Directed Networks
title_full Identifying Missing and Spurious Interactions in Directed Networks
title_fullStr Identifying Missing and Spurious Interactions in Directed Networks
title_full_unstemmed Identifying Missing and Spurious Interactions in Directed Networks
title_short Identifying Missing and Spurious Interactions in Directed Networks
title_sort identifying missing and spurious interactions in directed networks
url https://doi.org/10.1155/2015/507386
work_keys_str_mv AT xuezhang identifyingmissingandspuriousinteractionsindirectednetworks
AT chenglizhao identifyingmissingandspuriousinteractionsindirectednetworks
AT xiaojiewang identifyingmissingandspuriousinteractionsindirectednetworks
AT dongyunyi identifyingmissingandspuriousinteractionsindirectednetworks