Opinion formation in social networks with groups: a simulation study
This report is a study to develop a simulation model for studying the opinion formation dynamics in complex social networks with different groups. Complex network is made up of nodes and edges, similar to social networks where people are nodes and the relationship between them are edges. When int...
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Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2023
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Online Access: | https://hdl.handle.net/10356/167441 |
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Institution: | Nanyang Technological University |
Language: | English |
Summary: | This report is a study to develop a simulation model for studying the opinion formation
dynamics in complex social networks with different groups. Complex network is made up of
nodes and edges, similar to social networks where people are nodes and the relationship
between them are edges. When interaction occurs, a relationship is formed. Complex network
has many different types of networks like random network and scale-free network and each
of these networks have their unique behaviours and characteristics. Random networks are
formed with a disconnected set of nodes and each edge is created with a uniform probability
whereas Scale-free networks are formed using a power law degree distribution. The
difference between both networks is that in random networks the nodes are mostly likely to
have similar number of edge connection while in Scale-free networks the number of
connections of each node varies which is more useful in showing the behaviour of real-world
social networks. Research has also been done on the classic deffuant model which is used to
explore the formation of opinions. Before interaction, each node has its own opinion and after
interacting with other nodes, their initial opinion change, forming a new opinion which may
lead to making consensus. In this project, the models of the complex network will be
generated and observed along with the deffuant model where multiple scenarious such as
different values of threshold and different groups will be tested to observe the opinion
formation. |
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