Building-up the subject classification system from the collective intelligence

Systematized subject classification is essential for funding and assessing scientific projects. Conventionally, classification schemes are founded on the empirical knowledge of the group of experts; thus the expert’s perspectives have influenced the current systems of the scientific classification. Those systems archived current state-of-art in practice, yet acceleration of scientific turnover over time reported so that the global effect of accelerating make it impossible to respond to update of the classifications system by experts. To overcome the aforementioned limitations, we propose an unbiased classification scheme taking advantage of collective knowledge, Wikipedia, an Internet encyclopedia edited by millions of users set the prompt classification in collective fashions. We construct the Wikipedia network for scientific disciplines and extract the backbone of the network. This structure displays the landscape of science and technology based on a collective intelligence that is more unbiased and adaptable than conventional classifications. ∗ [email protected] † [email protected] 1 ar X iv :1 80 4. 00 02 6v 1 [ ph ys ic s. so cph ] 3 0 M ar 2 01 8