Coauthorship networks consist of links among groups of mutually connected authors that form a clique. Classical approaches using Social Network Analysis indices do not account for this characteristic. We propose two n...Coauthorship networks consist of links among groups of mutually connected authors that form a clique. Classical approaches using Social Network Analysis indices do not account for this characteristic. We propose two new cohesion indices based on a clique approach, and we redefine the network density using an index of variance of density. We have applied these indices to two coauthorship networks, one comprising researchers that published in Mathematics Education journals and the other comprising researchers from a Computational Modeling Graduate Program. A contextualized and comparative analysis was performed to show the applicability and potential of the indices for analyzing social networks data.展开更多
The phenomena of collaboration of papers published in Nature,Science in China and Chinese Science Bulletin in 1996 are statistically analyzed.The collaboration level of Chinese scientists and of foreign scientists in ...The phenomena of collaboration of papers published in Nature,Science in China and Chinese Science Bulletin in 1996 are statistically analyzed.The collaboration level of Chinese scientists and of foreign scientists in scientific research are compared.The results show that the collaboration level of scientific research in China in 1990s is significantly lower than that in foreign countries.展开更多
Credit-assignment schemas are widely applied by providing fixed or flexible credit distribution formulas to evaluate the contributions of coauthors of a scientific publication. In this paper, we propose an approach na...Credit-assignment schemas are widely applied by providing fixed or flexible credit distribution formulas to evaluate the contributions of coauthors of a scientific publication. In this paper, we propose an approach named First and Others （F＆O） counting. By introducing a tuning parameter a and a weight β, two new properties are obtained： （1） flexible assignment of credits by modifying the formula （with the change of a） and applying preference to the individual author by adjusting the weights （with the change ofβ）, and （2） calculation of the credits by separating the formula for the first author from others. With formula separation, the credit of the second author shows an inflection point according to the change ofa. The developed theorems and proofs concerning the modification of a and fl reveal new properties and complement the base theory for informetrics. The F＆O schema is also adapted when considering the policy of＇first-corresponding-author-emphasis＇. Through a comparative analysis using a set of empirical data from the fields of chemistry, medicine, psychology, and the Harvard survey data, the performance of the F＆O approach is compared with those of other methods to demonstrate its benefits by the criteria of lack of fit and coefficient of determination.展开更多
文摘Coauthorship networks consist of links among groups of mutually connected authors that form a clique. Classical approaches using Social Network Analysis indices do not account for this characteristic. We propose two new cohesion indices based on a clique approach, and we redefine the network density using an index of variance of density. We have applied these indices to two coauthorship networks, one comprising researchers that published in Mathematics Education journals and the other comprising researchers from a Computational Modeling Graduate Program. A contextualized and comparative analysis was performed to show the applicability and potential of the indices for analyzing social networks data.
文摘The phenomena of collaboration of papers published in Nature,Science in China and Chinese Science Bulletin in 1996 are statistically analyzed.The collaboration level of Chinese scientists and of foreign scientists in scientific research are compared.The results show that the collaboration level of scientific research in China in 1990s is significantly lower than that in foreign countries.
基金Project supported by the Brazilian National Council for Scientific and Technological Development(No.304903/2013-2)
文摘Credit-assignment schemas are widely applied by providing fixed or flexible credit distribution formulas to evaluate the contributions of coauthors of a scientific publication. In this paper, we propose an approach named First and Others （F＆O） counting. By introducing a tuning parameter a and a weight β, two new properties are obtained： （1） flexible assignment of credits by modifying the formula （with the change of a） and applying preference to the individual author by adjusting the weights （with the change ofβ）, and （2） calculation of the credits by separating the formula for the first author from others. With formula separation, the credit of the second author shows an inflection point according to the change ofa. The developed theorems and proofs concerning the modification of a and fl reveal new properties and complement the base theory for informetrics. The F＆O schema is also adapted when considering the policy of＇first-corresponding-author-emphasis＇. Through a comparative analysis using a set of empirical data from the fields of chemistry, medicine, psychology, and the Harvard survey data, the performance of the F＆O approach is compared with those of other methods to demonstrate its benefits by the criteria of lack of fit and coefficient of determination.
