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MSc Thesis Defense of Sarvnaz Sadeghi:"Study Opinion Dynamics of Migrated Individuals using Multi-layer Social Graphs"

Tuesday, May 24, 2022 - 13:00 to 14:30

SCHOOL OF COMPUTER SCIENCE 

The School of Computer Science is pleased to present… 

MSc Thesis Defense by: Sarvnaz Sadeghi 

 
Date: Tuesday May 24th, 2022 
Time:  1:00 pm- 2:30 pm 
Passcode: If interested in attending this event, contact the Graduate Secretary at csgradinfo@uwindsor.ca with sufficient notice before the event to obtain the passcode

Abstract:  

Human migration is one of the challenging issues facing today's world. It can happen for different reasons and at different levels, from one country to another or between societies. As a result of social collaboration and knowledge exchange, a migrant's opinion about a topic can change over time. These collaborations lead to network evolution, which affects each individual's decisions in society. In this thesis, we propose a novel computational model to study the opinion dynamics of a migrated individual in a multi-population social network. In this model, an individual migrates from one society to another with different beliefs and values. Each individual is able to take actions and has different opinions regarding various topics. We use Social Network Analysis (SNA) to investigate the opinion evolution of the migrated individual. Two algorithms, Belief-based and Learning-based, have been proposed to consider the opinion dynamics in which the migrated individual is under the effect of their neighbors' opinions, actions, and their origin and new society's social norms. Over time, the migrated individual tries to adapt to the new society by receiving feedback from their actions and collaborating with other people. We have analyzed the impact of different selection mechanisms, the role of origin's and destination's social norms, as well as the neighbor's opinion on the opinion dynamics of the migrated node. In addition, the role of learning and observation in the decision-making process has been studied. The results show that our model is capable of tracking the opinion dynamics of the migrated node in different scenarios and situations. 
 
Keywords: Opinion dynamics, Computational modelling, Multi-layer social network analysis 
 
MSc Thesis Committee:  
Internal Reader: Dr. Saeed Samet    
External Reader: Dr. Bharat Maheshwari      
Advisor: Dr. Pooya Moradian Zadeh, Dr. Ziad Kobti 
Chair: Dr. Kalyani Selvarajah 
 

MSc Thesis Defense Announcement  Vector Institute in artificial intelligence, artificial intelligence approved topic logo

 

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