Topological and Attribute Link Prediction using Firefly algorithm
Abstract: Link prediction problem has received remarkable interest in recent past. In this paper, firefly swarm intelligence algorithm is used to perform link prediction exploiting the topological and node attribute features of social network. Fireflies will be made to traverse on nodes and edges of social networks and the brightness of fireflies will play a major role in their movement. Common neighbor method of link prediction is used to compute similarity score upon each iteration. Performance of the proposed algorithm were analyzed over standard data sets using validation method called ten-fold method. The accuracy of proposed work is measured in terms of Area Under the Curve Characteristics (AUC), Recall and Precision. Experimental results showed that the proposed work outperforms the methods proposed in the literature.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Topological and Attribute Link Prediction using Firefly algorithm ; volume:10 ; number:1 ; year:2020 ; pages:33-41 ; extent:9
Open computer science ; 10, Heft 1 (2020), 33-41 (gesamt 9)
- Creator
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Pulipati, Srilatha
Ramakrishnan, Manjula
- DOI
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10.1515/comp-2020-0001
- URN
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urn:nbn:de:101:1-2410301446359.495889600826
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:32 AM CEST
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Associated
- Pulipati, Srilatha
- Ramakrishnan, Manjula
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