What should a researcher first read? A bi-relational citation networks model for strategical heuristic reading and scientific discovery

Abstract

[EN] Scientists usually try to find relevant and updated documents for their research. Also, they face an abundance of information. Most of the methodologies and algorithms look Backwards, so they suffer an inevitable time delay. We propose a recommendation algorithm combining Forward and Backward citation entire networks and Macro, Meso and Micro metrics that concludes in a strategic map and a heuristic reading path. Underlying it, we found an asymmetric bowtie scientific advance model that informs all, solving the abundance problem with a triple reduction and a heuristic reading path.