2017
DOI: 10.1007/s10462-017-9590-2
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A systemic analysis of link prediction in social network

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Cited by 84 publications
(41 citation statements)
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“…In biological networks, link prediction models were leveraged to predict new interactions between proteins [26]. It is also present in our * Contact author: research@deezer.com daily lives, suggesting people we may know but we are still not connected to, in our social networks [18,29,52]. Besides, link prediction is closely related to numerous recommendation tasks [4,28,58].…”
Section: Introductionmentioning
confidence: 99%
“…In biological networks, link prediction models were leveraged to predict new interactions between proteins [26]. It is also present in our * Contact author: research@deezer.com daily lives, suggesting people we may know but we are still not connected to, in our social networks [18,29,52]. Besides, link prediction is closely related to numerous recommendation tasks [4,28,58].…”
Section: Introductionmentioning
confidence: 99%
“…There are two groups representing the similarity-based methods. The first group classifies link prediction into the neighbor based, path-based, and random walk-based methods [4], [30]- [32]. The methods based on node neighborhoods adopt the common sense that two nodes x and y are more likely to start a new relationship when having the common neighbors [4] and reflecting the personal interest and social behavior [31].…”
Section: Related Workmentioning
confidence: 99%
“…Various names are used to classify prediction approaches. There are only two studies where the authors use the term 'learning-based method' to denote the non-topological information-based approaches, namely, P. Wang et al [31] and Haghani and Keyvanpour [32].…”
Section: Related Workmentioning
confidence: 99%
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