
doi: 10.1007/bf02016875
Abstract In this paper, we will study the field through the problematic network built by scientific articles, using actor-network theory (and consequently coword analysis) as a model for scientific knowledge (regarded as a social process) growth. Scientometrics is an hybrid field made of invisible college and a lot of users, thus controlled by both scientific research and final uses. Coword analysis gives the same weight to all articles, cited or not, and consequently computes the interaction network within all kind of authors. According to already described network properties of scientific interaction, coword analysis describes the dynamic of the field in accordance with what has been observed, and suggest forecast for the future.
| 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). | 112 | |
| 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. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
