MAVAC: Mapping and Visualization of Academic Collaborations with a Focus on Diversity

Autor:	Brandon Tat, Steven Pineda, Logan McNichols, Zoë J. Wood, Emma Sauerborn, Theresa Migler, Kevin Yoo, Jane L. Lehr
Rok vydání:	2021
Předmět:	Geospatial analysis Computer science media_common.quotation_subject Equity (finance) Variance (accounting) computer.software_genre Data science Visualization Graph drawing Cluster analysis Set (psychology) computer Diversity (politics) media_common
Zdroj:	Complex Networks XII ISBN: 9783030818531
DOI:	10.1007/978-3-030-81854-8_8
Popis:	Understanding the ways in which academic researchers collaborate in STEM fields helps us understand not only how scientific work is conducted, but also allows us to examine equity in scientific collaborations. We present our work on constructing, exploring and visualizing a collaboration network of co-authorship in computing and other fields to better understand collaboration trends and geospatial relationships between collaborators. We examine these networks with a focus on variance and similarities between subnetworks generated from a seed set of inferred gender and a seed set of inferred race and ethnicity of faculty members. Results related to variance in clustering coefficients and average degree are presented.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e2ff8f0788e8861ddc436efbd1ca759b https://doi.org/10.1007/978-3-030-81854-8_8 Zobrazit plný text záznamu