Research work is often the result of collaboration of bigger number of researchers, working either on research projects or publications. We have used the two main databases in Slovenia (SICRIS and COBISS) that capture this kind of collaboration, and constructed the networks that connect the researchers. Using different social network analysis and text analysis techniques, we were able discover patterns and properties of the network structure and the properties of text contained in the network, that can help us to better understand the scientific community in Slovenia. Among the analysis we performed were: discovering different topological properties of the network, cohesion analysis, frequent words co-occurrence discovery and semi-supervised learning.
COBISS.SI-ID: 2048003859
Using bibliographic data extracted from two interconnected data systems SICRIS and COBISS, social network analysis techniques were used to generate and analyse a network of co–authors with the aim of developing an understanding of the Slovenian research community that produces the research knowledge in the Republic of Slovenia. Using concept of centrality measures and visualisation techniques we were able to reveal structural characteristics of the Slovenian co–authors community and identify influential members of this community
COBISS.SI-ID: 2048003603
The Hosoya polynomial of a graph encompasses many of its metric properties, for instance the Wiener index (alias average distance) and the hyper-Wiener index. An expression is obtained that reduces the computation of the Hosoya polynomials of a graph with cut vertices to the Hosoya polynomial of the so-called primary subgraphs. The main theorem is applied to specific constructions including bouquets of graphs, circuits of graphs and link of graphs. This is in turn applied to obtain the Hosoya polynomial of several chemically relevant families of graphs. In this way numerous known results are generalized and an approach to obtain them is simplified. Along the way several misprints from the literature are corrected.
COBISS.SI-ID: 16524121