activity
20192026
most citedCombining Machine Learning and Social Network Analysis to Reveal the Organizational Structures

34 citations · 39 across the 8 of their papers we have counts for

collaborators

8 papers

cs.SI2026

Fairness in Opinion Dynamics

Stanisław Stępień, Michalina Janik, Mateusz Nurek +2

Ways in which people's opinions change are, without a doubt, subject to a rich tapestry of differing influences. Factors that affect how one arrives at an opinion reflect how they…

cs.SI2025

A Perspective on the Ubiquity of Interaction Streams in Human Realm

Damian Serwata, Mateusz Nurek, Radoslaw Michalski

Typically, for analysing and modelling social phenomena, networks are a convenient framework that allows for the representation of the interconnectivity of individuals. These netwo…

cs.SI2024

Temporal Link Prediction in Social Networks Based on Agent Behavior Synchrony and a Cognitive Mechanism

Yueran Duan, Mateusz Nurek, Qing Guan +2

Temporality, a crucial characteristic in the formation of social relationships, was used to quantify the long-term time effects of networks for link prediction models, ignoring the…

cs.SI2024

CoDiNG -- Naming Game with Continuous Latent Opinions of Individual Agents

Mateusz Nurek, Joanna Kołaczek, Radosław Michalski +2

Understanding the mechanisms behind opinion formation is crucial for gaining insight into the processes that shape the spread of political beliefs, cultural attitudes, consumer cho…

cs.SI2024★ 2 cited

Network Diffusion -- Framework to Simulate Spreading Processes in Complex Networks

Michał Czuba, Mateusz Nurek, Damian Serwata +5

With the advancement of computational network science, its research scope has significantly expanded beyond static graphs to encompass more complex structures. The introduction of…

cs.SI2022

Temporal Network Epistemology: on Reaching Consensus in Real World Setting

Radosław Michalski, Damian Serwata, Mateusz Nurek +3

This work develops the concept of temporal network epistemology model enabling the simulation of the learning process in dynamic networks. The results of the research, conducted on…

cs.CY2020★ 3 cited

Predicting Relationship Labels and Individual Personality Traits from Telecommunication History in Social Networks using Hawkes Processes

Mateusz Nurek, Radosław Michalski, Omar Lizardo +1

Mobile phones contain a wealth of private information, so we try to keep them secure. We provide large-scale evidence that the psychological profiles of individuals and their relat…

cs.SI2019★ 34 cited

Combining Machine Learning and Social Network Analysis to Reveal the Organizational Structures

Mateusz Nurek, Radosław Michalski

Formation of a hierarchy within an organization is a natural way of assigning the duties, delegating responsibilities and optimizing the flow of information. Only for the smallest…