Community detection is a critical challenge in analysing real graphs, including social, transportation, citation, cybersecurity, and many other networks. This article proposes three …
R Luo, B Nettasinghe… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
This paper studies controlling segregation in social networks via exogenous incentives. We construct an edge formation game on a directed graph. A user (node) chooses the …
We investigate signed networks with community structure with respect to their spectra and their evolution under a dynamical model of structural balance, a prominent theory of signed …
G Calice, C Sala, D Tantari - Scientific Reports, 2023 - nature.com
We study the role of contingent convertible bonds (CoCos) in a complex network of interconnected banks. By studying the system's phase transitions, we reveal that the …
D Ma, S Mankad - Available at SSRN 3742790, 2020 - papers.ssrn.com
We develop and present a new methodology to detect regime changes within a sequence of sparse networks that have overlapping and evolving community structure. The core of the …
There is increasing understanding that many complex systems of interest–everything from the global economy, to social group dynamics, to biochemical processes in the brain …
Networks in nature regularly exhibit dynamics that are difficult to characterize due to their nonlinear nature and use of obscure control signals. These systems are often marked by low …
It is a common practice among humans to deduce, to explain and to make predictions based on concepts that are not directly observable. In Bayesian statistics, the underlying …