It is well documented that an individual’s ability to know who knows whom in their network has positive benefits in various facets of professional life. But people vary in their network acuity - that is, their ability to accurately assess who knows whom in their network. This poster seeks to understand what explains a person’s network acuity? Is it shaped by the individual’s position in the network or is it an individual trait? We address these questions using data collected from 6-DoS (6 Degrees of Separation), a Web-based platform we developed to set up, conduct and collect data on various small-world experiments within a predefined social network. First, individuals answer various personality-based questions. Individuals need to route messages through a finite number of pre-selected contacts. The intended target for these messages is a few degrees of separation away from the individual. Their goal is to send it to one of their direct contacts who can get it to the final target in the shortest number of steps. We measure every participant’s network acuity measure by taking into account how the individual performance compared to the best possible performance and also takes into account how difficult it was to make the right choice. It averages this over all the messages relayed by the individual. We find that our measure of network acuity is not correlated to any centrality measures commonly used as a proxy for the location in a network. We do find that it is correlated to personality traits such as openness and conscientiousness. Therefore, we conclude that network acuity is a personality trait and not a function of a person’s location in the network. Our results suggest that individuals with specific personality traits might be best suited to perform tasks at specific times during the life of a project.
Human-derived content of dust microbiota in athletic facilities reflects building design and operation
Ryan Blaustein, et al., Civil and Environmental Engineering
Building design and operation impact the accumulation and survival of microorganisms in indoor spaces. These microorganisms, together referred to as the indoor microbiome, have implications for human health and well being. However, the relative importance of factors like architecture compared to, e.g., human occupancy, remains unclear. This study aimed to identify putative sources of microbes found in dust and determine building characteristics that most strongly correlate with the human-derived content. Dust samples were collected from...Read on
Hyojun Lee, et al., Chemical and Biological Engineering
Contagion processes arise broadly in the social and biological sciences, manifested as, for example the spread of infectious and the diffusion of innovations. Depending on the network structure, the transmission dynamics can have different. However, when the structure is too complex (e.g. multipartite networks), understanding the properties of the network might not be sufficient to predict and compare the transmission dynamics between similar networks. We developed an algorithm that systematically compares the transmission dynamic trajectories...Read on