
Using the scientific papers and their authors, we have established a supernetwork of scientific collaboration between researchers and papers. In the supernetwork, researchers are not only pair connected if they have coauthored one or more papers, but also connected to the papers if they co-published the papers. Generalization the concept of complex network to the supernetwork is studied to analyze the topological of the supernetwork. Here we study a degree central with coefficients to measure the importance of the researcher node. Finally, by utilizing the real-world data, we applied these characteristics to find out the important researchers in the supernetwork.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 8 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
