6 research outputs found
An embedding-based distance for temporal graphs
We define a distance between temporal graphs based on graph embeddings built
using time-respecting random walks. We study both the case of matched graphs,
when there exists a known relation between the nodes, and the unmatched case,
when such a relation is unavailable and the graphs may be of different sizes.
We illustrate the interest of our distance definition, using both real and
synthetic temporal network data, by showing its ability to discriminate between
graphs with different structural and temporal properties. Leveraging
state-of-the-art machine learning techniques, we propose an efficient
implementation of distance computation that is viable for large-scale temporal
graphs
Gender heterophily and equality: a contribution to gender equality in the Chilean scientific sector
Women’s insertion or consolidation in science has been thoroughly researched. Such discussion could be particularly relevant concerning sustainable development goal five (SDG 5) on Gender Equality advancement. However, the debate is focused on women percentages inserted into scientific labor, leaving the issue of symbolic experience for women in research unaddressed and with little empirical support. The data come from a survey developed under a FONDECYT project, which studied knowledge production in Chile. Researchers obtained contacts through invitations on social networks such as Twitter, Facebook, and LinkedIn and databases containing scientists’ emails working in Chile. The non-probabilistic sample collected 583 cases, with participants residing in 15 of the 16 country regions. As a result, this document presents the findings of a study on symbolic experience using an instrument to determine whether there are any homophily patterns. It aims to determine if scientists tend to cite others as referents only when they encounter a situation like their own. The findings reveal a clear way scientists estimate the effect of others in terms of their gender homophily. This intervening factor could be crucial in reproducing the disparities and asymmetries that characterize Chile’s scientific field