Crash of social networks with cherished connections : a simulation study

• Main Author: Nur Diana Zainuren
• Other Authors: XIAO Gaoxi
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2021
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling
• Online Access: https://hdl.handle.net/10356/149105
• Institution: Nanyang Technological University

No matter the level of engagement from community to global platforms, every living organisms have some role in a social network. When combined, these species interact with each other, creating a complex network. As we understand it, all our actions may affect others. There have been extensive efforts done in researching the understanding of the growth and evolution of these networks. However, understanding the phenomenon of systems crashing is still suffering from a lack of research and remains unexplored for many years. The crash of social networks can be viewed as unpredictable. A model called the ‘K-Q Cascade’ is introduced to simulate the outcome of survivability of different social networks. The main aspect focuses on the Erdös−Rényi network, Scale Free network, and Exponential network. On top of looking at the K-Q Cascade model, we will investigate the effects of cherished connections in a social network. Simulation will be done over a few test scenarios to observe how a network reacts.