Aug 11, 2021 | 15:00—15:30
In some economic systems the failure of a single actor can cause the inoperability of large parts of the system, the potential to do this is called “Systemic Risk” (SR). This effect has been shown to be determined stronger by the actor’s network position rather than it’s size. The literature introduces many different ways to study and quantify Economic Systemic Risk, but yet lacks a systematic comparison of these methods. In this project we will build a pipeline to calculate various measures for SR and apply it to different synthetic and empirical networks. We systematically compare which SR measures are similar and dissimilar and what network-properties drive these relations.
Gender disparity in academia is a well-known phenomenon, resulting in the lack of roles models, feeling of exclusion, and a higher dropout rate for women and other underrepresented minorities. In order to study the extent of this discrepancy, we construct the collaboration network of the authors of the American Physical Society (APS) Journals and analyze the connectivity patterns of female and male authors in this network.
We observe that while women are in general underrepresented in the academic environment, this imbalance exacerbates further in the more central and prominent positions within the society. Counter-intuitively, we observe that women have a higher clustering coefficient than men. Our results also suggest that some of the discrepancy can be explained by the fact that female presence in academia is a comparatively recent phenomenon and female academics are by average significantly younger than males.