1131. |
1132. Strength prominence index : a link prediction method in fuzzy social networkSakshi Dev Pandey, Sovan Samanta, Leo Mršić, Antonios Kalampakas, Tofigh Allahviranloo, 2025, original scientific article 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.
Keywords: link prediction, similarity indices, fuzzy social network, strength prominence (SP) index
Published in DiRROS: 09.09.2025; Views: 305; Downloads: 88
 Full text (2,12 MB) |
1133. |
1134. 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, original scientific article Keywords: catalysis, palladium, ligand, carbene, Sonogashira, mechanism, mass spectrometry
Published in DiRROS: 09.09.2025; Views: 256; Downloads: 126
Full text (2,57 MB)
This document has many files! More... |
1135. |
1136. |
1137. |
1138. |
1139. |
1140. |
