Welcome to SciBase!
A study in Machine Learning, Repository and the first complete Web-Dictionary of Scholastic Information System
The SciBase project aims to model entity data and relationships between every author, article and journal in the world as a graph. This graph is openly accessible to users through code as well as dynamic datasets.
A crucial aim of the SciBase project is to be able to exploit hidden patterns and relationships in the SciBase Graph to derive metrics for deeper understanding and analysis of author/article/journal data. The VizKit platform allows users to do just that albeit in an elegantly visual manner.
The Open Peer Review (OPR) is an open and transparent framework that allows the community to engage in positive scientific discussion/critique about existing research work in the scientific domain. Users can host their work independenty or choose to discuss existing content fetched from ArXiv
Non-local influence is the number of citations made from one paper in a given journal, to a number of different journals - divided by the total number of citations. NLIQ = 0 implies there is no diffusion.
International collaboration accounts for the articles that have been produced by researchers from several countries. Every author's country is matched with the country of publishing journal. Ratio is calculated on the basis of weights assigned to different combination of authors affiliation and origin of the publishing journal.
Other-Citations Quotient is 1- (self-citations/total citations); where self-citations of a paper S is considered a self-citation of P, if P and S share at least one author. Total citations is the number of citations of a journal.
SNIP is the ratio of a source's average citation count per paper, and the citation potential of its subject field
Copious citations is defined as, if between two authors A and B, say; A cites all published papers of B and vice-versa.
Measuring internationality of scientific journals is an open problem as there exists no metric to rank journals based on the extent or scale of internationality. Measuring internationality is qualitative, vague and open to interpretations and vested interests. With the tremendous increase in the number of journals in various fields, it has become an absolute necessity to evaluate, rank and categorize journals based on internationality. Therefore, it is essential to validate the credibility of an International tag associated with any journal since this is driving a volume of faculties and research scholars to publish their work in International Journals than in National journals
Simulation of (IRS+DRS+CRS) Elasticity models using the Cobb Douglas Production Function.
Demo of an alternate data schema.