The role of gender in social network organization

Abstract

The digital traces we leave behind when engaging with the modern world offer an interesting lens through which we study behavioral patterns as expression of gender. Although gender differentiation has been observed in a number of settings, the majority of studies focus on a single data stream in isolation. Here we use a dataset of high resolution data collected using mobile phones, as well as detailed questionnaires, to study gender differences in a large cohort. We consider mobility behavior and individual personality traits among a group of more than 800 university students. We also investigate interactions among them expressed via person-to-person contacts, interactions on online social networks, and telecommunication. Thus, we are able to study the differences between male and female behavior captured through a multitude of channels for a single cohort. We find that while the two genders are similar in a number of aspects, there are robust deviations that include multiple facets of social interactions, suggesting the existence of inherent behavioral differences. Finally, we quantify how aspects of an individual’s characteristics and social behavior reveals their gender by posing it as a classification problem. We ask: How well can we distinguish between male and female study participants based on behavior alone? Which behavioral features are most predictive?

Gender differences in prednisone adverse effects

“…This observation is not surprising because studies showed that women as a group maintain more social contacts, communicate more frequently, and strive to stay in the center of a social network. 21 , 22 In the same context, women are more cognizant of their visual appearance as shown by the study of the social network using Facebook, a large social network service. 22 …”

Gender gaps in urban mobility

“…In the past 10 years, many studies have successfully used Call Details Records (CDRs) to extract and analyze human mobility patterns (González et al, 2009;Song et al, 2010;Calabrese et al, 2013;Beiró et al, 2018;Graells-Garrido et al, 2017). However, even if gender differences in mobility patterns derived from mobile phone data have been sometimes investigated, they have been mostly considered as somewhat peripheral (Song et al, 2010) or comparatively smallscale (Psylla et al, 2017).…”

Edad, Género Y Estatus Profesional De Los Investigadorescomo Indicadores De La Percepción De Twitter en La Difusión De La Ciencia

“…Otros estudios en el ámbito de la cooperación entre sujetos (Molina et al, 2013) también encuentran una diferencia de género en el nivel de cooperación, así que sería interesante abordar de manera más profunda esta perspectiva de género en relación con la utilización de las redes sociales por parte de las investigadoras y los investigadores. Además, investigaciones más recientes, que han analizado el rol de género en la organización de estructuras sociales (Psylla et al, 2017), apuntan a la existencia de diferencias de género inherentes en el comportamiento de movilidad y en los rasgos de personalidad. La relevancia de estos estudios para la interpretación de los resultados de la muestra de la encuesta es que las investigadoras han presentado una percepción más positiva del uso cooperativo de las redes sociales.…”