2017/06/16 by Tanya Araújo, Araújo, Tanya, Elsa Fontainha +2
Computer Science · Decision Sciences · Physics and Astronomy · Social Sciences · #Big data #Biology #Citation #Complex Network Analysis Techniques #Computer science #Data mining #Data science #Digital Libraries (cs.DL) #Digital Marketing and Social Media #Epistemology #FOS: Computer and information sciences #Game Theory and Applications #Genealogy #History #Inheritance (genetic algorithm) #Social and Information Networks (cs.SI) #Sociology #World Wide Web #cs.DL #cs.SI
paper · pdf · doi:10.48550/arxiv.1706.05156
31 pages, 6 figures
openalex publication_date 2017/06/16 · arxiv created 2017/06/19 · arxiv updated 2017/06/20 · openalex created_date 2017/06/23 · openalex updated_date 2026/07/28
This paper seeks to build upon the previous literature on gender aspects in research collaboration and knowledge diffusion. Our approach adds the meme inheritance notion to traditional citation analysis, as we investigate if scientific memes are inherited differently from gendered authorship. Since authors of scientific papers inherit knowledge from their cited authors, once authorship is gendered we are able to characterize the inheritance process with respect to the frequencies of memes and their propagation scores depending on the gender of the authors. By applying methodologies that enable the gender disambiguation of authors, big missing data on the gender of citing and cited authors is dealt with. Our empirically based approach allows for investigating the combined effect of meme inheritance and gendered transmission. Results show that scientific memes do not spread differently from either male or female cited authors. Likewise, the memes that we analyse were not found to propagate more easily via male or female inheritance.