activity
20202022
most citedSequential seeding in multilayer networks

17 citations · 17 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SI2022

Maximising Influence Spread in Complex Networks by Utilising Community-based Driver Nodes as Seeds

Abida Sadaf, Luke Mathieson, Piotr Bródka +1

Finding a small subset of influential nodes to maximise influence spread in a complex network is an active area of research. Different methods have been proposed in the past to ide…

cs.SI2022

Modeling the impact of external influence on green behaviour spreading in multilayer financial networks

Magdalena Zioło, Piotr Bródka, Anna Spoz +1

Growing awareness of the impact of business activity on the environment increases the pressure on governing bodies to address this issue. One possibility is to encourage or force t…

cs.SI2022

Simulating Spreading of Multiple Interacting Processes in Complex Networks

Michał Czuba, Piotr Bródka

Investigating the interaction between spreading processes in complex networks is one of the most important challenges in network science. However, whether we would like to know how…

cs.CV2021

DECA: Deep viewpoint-Equivariant human pose estimation using Capsule Autoencoders

Nicola Garau, Niccolò Bisagno, Piotr Bródka +1

Human Pose Estimation (HPE) aims at retrieving the 3D position of human joints from images or videos. We show that current 3D HPE methods suffer a lack of viewpoint equivariance, n…

cs.SI2020★ 17 cited

Sequential seeding in multilayer networks

Piotr Bródka, Jarosław Jankowski, Radosław Michalski

Multilayer networks are the underlying structures of multiple real-world systems where we have more than one type of interaction/relation between nodes: social, biological, compute…