Guns and Rousseau’s recently published paper in FITEE gives a clear introduction about some important research results related to complex networks, which deepens people’s understanding of network characteristics, an...Guns and Rousseau’s recently published paper in FITEE gives a clear introduction about some important research results related to complex networks, which deepens people’s understanding of network characteristics, and puts forward new measures and models. The proposed gefura measures show the significance of appropriately using a “basic” normalization to describe the betweenness centrality of nodes, and then the “structural” normalization to pay more attention to the level of groups. The term “gefura measures” is from old Greek γεφυρα, meaning bridge measure, a more descriptive term with universal appeal. More specifically, they applied the Brandes algorithm to calculate the gefura measures, which makes their article easier to apply to practical cases. Even in academia, any new ideas, concepts, indicators and models should stand the test of time. The spirit of innovation of Rousseau and his team is highly recommendable. We sincerely hope that the study on gefura measures can raise more concerns, and can be recognized and used by social scientists, informetricians, and colleagues studying complex networks from all over the world as an important outcome.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
The development of urban air mobility(UAM)systems requires scalable,regulation-aware planning of low-altitude airspace and supporting infrastructure.This study proposes an end-to-end framework for the design,simulatio...The development of urban air mobility(UAM)systems requires scalable,regulation-aware planning of low-altitude airspace and supporting infrastructure.This study proposes an end-to-end framework for the design,simulation,and iterative optimization of a structured UAM corridor over Brasilia’s central road axis(Eix??o-UAM),aligned with the Brazilian unmanned aircraft traffic management(BR-UTM)ecosystem.In addition,this study proposes a multilayered aerial conflguration stratifled by unmanned aerial vehicle class,supported by a modular ground infrastructure composed of vertihubs,vertiports,and vertistops.A takeoff-scheduling simulator is developed to evaluate platform allocation strategies under realistic traffic and weather conditions.Initial experiments compare a round-robin(RR)baseline with a genetic algorithm(GA),and results reveal that RR outperforms GA v1 in terms of the average waiting time.To address this gap,a large language model(LLM)assisted optimization loop is implemented using GPT-4o Mini and Gemini 2.5 Pro.The LLMs act as reasoning partners,supporting the root-cause diagnoses,fltness function redesign,and rapid prototyping of flve GA variants.Among these,GA v5achieves a 59.62%reduction in maximum waiting time and an approximately 10%reduction in average waiting time over GA v1,thereby approaching the robustness of RR.In contrast,GA v2–v4 and GA v6 perform less consistently,showing an importance of fltness function design.These results underscore the role of an iterative,LLM-guided development in enhancing classical optimization,demonstrating that generative artiflcial intelligence(AI)can contribute to simulation acceleration and the cocreation of operational logic.The proposed method provides a replicable blueprint for integrating LLMs into early-stage UAM planning,offering both theoretical insights and architectural guidance for future low-altitude airspace systems.展开更多
文摘Guns and Rousseau’s recently published paper in FITEE gives a clear introduction about some important research results related to complex networks, which deepens people’s understanding of network characteristics, and puts forward new measures and models. The proposed gefura measures show the significance of appropriately using a “basic” normalization to describe the betweenness centrality of nodes, and then the “structural” normalization to pay more attention to the level of groups. The term “gefura measures” is from old Greek γεφυρα, meaning bridge measure, a more descriptive term with universal appeal. More specifically, they applied the Brandes algorithm to calculate the gefura measures, which makes their article easier to apply to practical cases. Even in academia, any new ideas, concepts, indicators and models should stand the test of time. The spirit of innovation of Rousseau and his team is highly recommendable. We sincerely hope that the study on gefura measures can raise more concerns, and can be recognized and used by social scientists, informetricians, and colleagues studying complex networks from all over the world as an important outcome.
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.
基金Project supported by the Brazilian National Council for Scientific and Technological Development(CNPq)(No.309545/2021-8)。
文摘The development of urban air mobility(UAM)systems requires scalable,regulation-aware planning of low-altitude airspace and supporting infrastructure.This study proposes an end-to-end framework for the design,simulation,and iterative optimization of a structured UAM corridor over Brasilia’s central road axis(Eix??o-UAM),aligned with the Brazilian unmanned aircraft traffic management(BR-UTM)ecosystem.In addition,this study proposes a multilayered aerial conflguration stratifled by unmanned aerial vehicle class,supported by a modular ground infrastructure composed of vertihubs,vertiports,and vertistops.A takeoff-scheduling simulator is developed to evaluate platform allocation strategies under realistic traffic and weather conditions.Initial experiments compare a round-robin(RR)baseline with a genetic algorithm(GA),and results reveal that RR outperforms GA v1 in terms of the average waiting time.To address this gap,a large language model(LLM)assisted optimization loop is implemented using GPT-4o Mini and Gemini 2.5 Pro.The LLMs act as reasoning partners,supporting the root-cause diagnoses,fltness function redesign,and rapid prototyping of flve GA variants.Among these,GA v5achieves a 59.62%reduction in maximum waiting time and an approximately 10%reduction in average waiting time over GA v1,thereby approaching the robustness of RR.In contrast,GA v2–v4 and GA v6 perform less consistently,showing an importance of fltness function design.These results underscore the role of an iterative,LLM-guided development in enhancing classical optimization,demonstrating that generative artiflcial intelligence(AI)can contribute to simulation acceleration and the cocreation of operational logic.The proposed method provides a replicable blueprint for integrating LLMs into early-stage UAM planning,offering both theoretical insights and architectural guidance for future low-altitude airspace systems.
