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1202. Strength prominence index : a link prediction method in fuzzy social networkSakshi Dev Pandey, Sovan Samanta, Leo Mršić, Antonios Kalampakas, Tofigh Allahviranloo, 2025, izvirni znanstveni članek Povzetek: 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.
Ključne besede: link prediction, similarity indices, fuzzy social network, strength prominence (SP) index
Objavljeno v DiRROS: 09.09.2025; Ogledov: 331; Prenosov: 88
 Celotno besedilo (2,12 MB) |
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1204. A mesoionic bis(Py-tzNHC) palladium(II) complex catalyses "green" Sonogashira reaction through an unprecedented mechanismMartin Gazvoda, Miha Virant, Andrej Pevec, Damijana Urankar, Aljoša Bolje, Marijan Kočevar, Janez Košmrlj, 2016, izvirni znanstveni članek Ključne besede: catalysis, palladium, ligand, carbene, Sonogashira, mechanism, mass spectrometry
Objavljeno v DiRROS: 09.09.2025; Ogledov: 264; Prenosov: 128
Celotno besedilo (2,57 MB)
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