Pukyong National University
A faculty hiring network has its importance in forming academic, and non-meritocratic perceptions of academic workforce regarding institutions’ prestige, racial composition of scholars, and preferred educational trajectories. These non-meritocratic elements can form an imbalanced representative composition of the academic workforce and reinforce inequality. We studied the impact of institutional prestige in the high education systems of diverse cultures, and its results displayed a significant inequality of Ph.D. granting institutions’ faculty production.
Topological heterogeneities and correlations with individual attributes in social networks have a strong impact on the individuals embedded in those networks. One of the interesting phenomena driven by such heterogeneities is the friendship paradox (FP), an example bias regarding biased perception on the mean degree of one’s neighbors is larger than the degree of oneself. We study the impact of perception models and diverse structural properties of social networks on perception biases with network simulations and empirical data analysis.
One's influence is heterogeneously distributed and affects through a social network with hierarchical and homophilic structures. In those networks, there can be a coupling between the influence of an individual (measured by the out-degree) and acceptance rates of a new opinion or habit. We study the emergences of collective opinion formation or decision-making on various network structures with numerical simulations, network modeling, and data analysis.
Many health-related research focuses on the major populations regarding race, age, and gender. However, we study minor communities' online health-related behaviors to understand their collective behaviors.
Understanding brain networks' structures can be crucial to treating brain-related diseases. We study brain connectivities with diverse experimental data with various brain dynamics models.