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Title: Similarity Index based Link Prediction Algorithms in Social Networks: A Survey, Journal of Telecommunications and Information Technology, 2016, nr 2

Creator:

Manjula, Ramakrishnan ; Srilatha, Pulipati

Date:

2016, nr 2

Resource Type:

artykuł

Description:

Social networking sites have gained much popularity in the recent years. With millions of people connected virtually generate loads of data to be analyzed to infer meaningful associations among links. Link prediction algorithm is one such problem, wherein existing nodes, links and their attributes are analyzed to predict the possibility of potential links, which are likely to happen over a period of time. In this survey, the local structure based link prediction algorithms existing in literature with their features and also the possibility of future research directions is reported and discussed. This survey serves as a starting point for beginners interested in understanding link prediction or similarity index algorithms in general and local structure based link prediction algorithms in particular.

Publisher:

National Institute of Telecommunications

Format:

application/pdf

Resource Identifier:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:1922

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

social network analysis similarity index link prediction similarity based link prediction

Object collections:

Last modified:

Oct 20, 2016

In our library since:

Oct 20, 2016

Number of object content hits:

506

All available object's versions:

https://bc.itl.waw.pl/publication/2196

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Edition name Date
Srilatha, Pulipati; Manjula, Ramakrishnan, Similarity Index based Link Prediction Algorithms in Social Networks: A Survey, Journal of Telecommunications and Information Technology, 2016, nr 2 Oct 20, 2016

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