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Articles by Piotr Bródka
Beyond Individual Influence: The Role of Echo Chambers and Community Seeding in the Multilayer three state q-Voter Model
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Identifying Key Nodes for the Influence Spread Using a Machine Learning Approach
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Peer Interaction Dynamics and Second Language Learning Trajectories During Study Abroad: A Longitudinal Investigation Using Dynamic Computational Social Network Analysis - Paradowski - Language Learning - Wiley Online Library
CRediT author statement – Michał B. Paradowski: conceptualization (lead), funding acquisition, methodology (equal), formal analysis (equal), supervision, validation, writing – original draft (lead), review and editing (lead). Nicole Whitby: investigation, data curation (equal), writing – original draft (supporting), review and editing (supporting).
[2403.04480] The role of conformity in opinion dynamics modelling with multiple social circles
[Submitted on 7 Mar 2024] Title:The role of conformity in opinion dynamics modelling with multiple social circles Download a PDF of the paper titled The role of conformity in opinion dynamics modelling with multiple social circles, by Stanis{\l}aw St\k{e}pie\'n and 3 other authors Download PDF HTML (experimental) Abstract:Interaction with others influences our opinions and behaviours.
Influence of Information Blocking on the Spread of Virus in Multilayer Networks
This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by Paulina Wątroba 1,† and Piotr Bródka 2,*,† 1 Capgemini, Legnicka 48K, 54-202 Wrocław, Poland 2 Department of Artificial Intelligence, Faculty of Information and Communication Technology, Wrocław University of Science and Technology, 50-370 Wrocław, Poland * Author to whom correspondence should be addressed. † These authors contributed equally to this work.
Analysis of group evolution prediction in complex networks
Loading metrics Open Access Peer-reviewed Research Article Stanisław Saganowski , Piotr Bródka, Michał Koziarski, Przemysław Kazienko Stanisław Saganowski, Piotr Bródka, Michał Koziarski, Przemysław Kazienko Published: October 29, 2019 https://doi.org/10.1371/journal.pone.0224194 Figures Abstract In the world, in which acceptance and the identification with social communities are highly desired, the ability to predict the evolution of groups over time appears to be a vital but very complex...
Probing Limits of Information Spread with Sequential Seeding
We consider an independent cascade that is a stochastic diffusion model of information spread in the network initiated by seeds1. A basic, commonly used, single stage seeding (SN) consists of only one activation stage in which the fixed number of n seeds are activated, see Table 1. They initiate diffusion which runs until no more nodes can be activated.
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