The CTRUST GPU cluster has arrived
CTRUST aims to understand how collective trust rises and disappears in social groups. We want to identify properties of social networks that promote or block the emergence, maintenance, and decay of trust. Based on this, we want to recommend actions to group leaders, managers, and industry for the successful management of social groups by creating an online platform that disseminates and converts scientific findings to applicable guidelines.
Trust is a force that holds society together. Trust between two individuals has been extensively studied. The emergence of trust in a social group is a collective phenomenon that needs to be better understood. More than 2 billion active users interact online and leave data, allowing us to study trust in social groups.
CTRUST is based on the idea that the combined knowledge about person-to-person relations and the structure of social interactions are essential for predicting and understanding the emergence of collective trust. We will develop a new set of methods that will allow us to analyze large data sets and uncover how the structure of social interactions influences the dynamics of collective trust.
We will quantify the influence of the structure of social networks on trust dynamics by applying a unique approach based on empirical analysis, modeling, and experimentation. We will collect the data from online social groups and extract information about interactions and the exchange of emotions. Using complex network theory and novel topological methods, we will investigate how the structure affects trust dynamics and derive the essential network properties related to trust. To generalize our findings, we will develop and investigate agent-based models of trust dynamics and design and conduct the experiment.
Key ingredients of trust are encoded in the structure of evolving social networks. We will identify them and test how well they describe and predict collective trust dynamics in a social group.
Knowledge about the factors that influence the emergence and persistence of trust in social groups is one of the central societal challenges. We will create comprehensive guidelines on managing trust in social groups for industry and the public and disseminate them to a broad audience through the project website. It is expected that our findings will profoundly impact many sectors of society.
This research is supported by the Science Fund of the Republic of Serbia, Grant No 7416, Topology-derived methods for the analysis of collective trust dynamics - CTRUST.
The CTRUST team comprises researchers from three national institutions: the Institute of Physics Belgrade, the Faculty of Philosophy at the University of Novi Sad (FFUNS), and the Vinča Institute of Nuclear Sciences at the University of Belgrade (VINS).
Professor at the Institute of Physics Belgrade.
Assistant Professor at Faculty of Philosophy, University of Novi Sad. Network science, quantitative and computational methods in social sciences.
Research Assistant at Faculty of Philosophy, University of Novi Sad.
Institute of Nuclear Sciences Vinča
Institute of Nuclear Sciences Vinča
Assistant Professor at the Institute of Physics Belgrade.
Research Associate at the Institute of Physics Belgrade. Network science, machine learning, social physics.
Assistant Professor at the Institute of Physics Belgrade. Complex networks, statistical physics, random matrix theory.
Assistant Professor at the Institute of Physics Belgrade. Ultra-cold quantum gases, high-performance computing, high-performance data analysis.
Professor at the Institute of Physics Belgrade.
April 2024
This protocol specifies the data collection process for the Multi-platform Aggregated Dataset of Online Communities (MADOC). The resulting dataset will study different aspects of online social media dynamics, user interactions, and content across different platforms: Twitter, Bluesky, Koo, Reddit, and Voat. Link: https://osf.io/ksqz6
June 2024
Conference Abstract, SUNBELT 2024. Link: https://sunbelt2024.com/event-schedule/
Online meetings
In-person meetings
In-person meetings
In-person meetings
In-person meetings
In-person meetings
In-person meetings
Equipement
Equipement
Equipement
Phone: +381 (0)11 37 13 000
dusan@ctrust.ac.rs
Pregrevica 118
11080 Belgrade
Serbia
