A theoretical case study of structured variational inference for community detection

M Yin, YXR Wang, P Sarkar - International Conference on …, 2020 - proceedings.mlr.press
Mean-field variational inference (MFVI) has been widely applied in large scale Bayesian
inference. However, MFVI assumes independent distribution on the latent variables, which …

Community detection in complex networks via node similarity, graph representation learning, and hierarchical clustering

Ł Brzozowski, G Siudem, M Gagolewski - arXiv preprint arXiv:2303.12212, 2023 - arxiv.org
Community detection is a critical challenge in analysing real graphs, including social,
transportation, citation, cybersecurity, and many other networks. This article proposes three …

Controlling segregation in social network dynamics as an edge formation game

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 …

Community detectability and structural balance dynamics in signed networks

M Morrison, M Gabbay - Physical Review E, 2020 - APS
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 …

Contingent convertible bonds in financial networks

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 …

Social Network Segregation: Measurement, Estimation, and Mitigation

R Luo - 2023 - search.proquest.com
SOCIAL NETWORK SEGREGATION: MEASUREMENT, ESTIMATION, AND MITIGATION Page
1 SOCIAL NETWORK SEGREGATION: MEASUREMENT, ESTIMATION, AND MITIGATION A …

Change Detection in Core-Periphery Networks: A Case Study on Detecting Financial Crises in the Interbank Market

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 …

Models for dynamic networks with metadata

J Fitzgerald - 2022 - ora.ox.ac.uk
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 …

[图书][B] From worms to wars, modeling and controlling networked dynamical systems

MJ Morrison - 2021 - search.proquest.com
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 …

[图书][B] Variational Methods with Dependence Structure

M Yin - 2020 - search.proquest.com
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 …