| Title: | Strength prominence index : a link prediction method in fuzzy social network |
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| Authors: | ID Pandey, Sakshi Dev (Author)
ID Samanta, Sovan (Author)
ID Mršić, Leo (Author)
ID Kalampakas, Antonios (Author)
ID Allahviranloo, Tofigh (Author) |
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| Files: |  PDF - Presentation file, download (2,12 MB)
MD5: D3B9B6726A4D4A552DCEC5CA267A8947
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| Language: | English |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: |  RUDOLFOVO - Rudolfovo - Science and Technology Centre Novo Mesto
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| Abstract: | Link prediction is a field within social network studies that aims to forecast future connections based on the structure of a social network. This paper introduces a link prediction method based on the strength and prominence of seed node pairs, referred to as the strength prominence index. In this method, we get a consistent score for any pair of nodes, regardless of whether they share a common neighbour. Several key characteristics have been identified. In our experiments, we used three well-known estimators to evaluate the accuracy of link prediction algorithms: precision, area under the precision-recall curve, and area under the receiver operating characteristic curve. A comparative study with existing methods is also presented, supported by relevant graphs and tables. Validation using Facebook data sets demonstrates the effectiveness of the proposed method. |
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| Keywords: | link prediction, similarity indices, fuzzy social network, strength prominence (SP) index |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Publication date: | 29.05.2025 |
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| Publisher: | Springer |
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| Year of publishing: | 2025 |
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| Number of pages: | str. 1-28 |
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| Numbering: | vol. 11, [art. no.]307 |
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| PID: | 20.500.12556/DiRROS-22641  |
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| UDC: | 519.876:316.7 |
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| ISSN on article: | 2198-6053 |
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| DOI: | 10.1007/s40747-025-01925-6 |
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| COBISS.SI-ID: | 239073539 |
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| Copyright: | © The Author(s) |
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| Note: | Soavtorji: Sovan Samanta, A. S. Ranadive, Leo Mrsic, Antonios Kalampakas, Tofigh Allahviranloo;
Nasl. z nasl. zaslona;
Opis vira z dne 11. 6. 2025;
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| Publication date in DiRROS: | 09.09.2025 |
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| Views: | 306 |
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| Downloads: | 88 |
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