RESEARCH ON VIRUS TRANSMISSION OF ONLINE SOCIAL NETWORK

Min Yang, Yaoliang Song, Qianmu Li

School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China

Online social networks (OSN) are up-and-coming complex network systems. Experiments indicate that it is difficult for simple complex network theory to describe virus transmission behaviour. Based on comprehensive research into current virus transmission, this paper combines user behaviour with social engineering theory and builds a model of virus transmission on OSN. Key factors affecting virus transmission on OSN are then analysed. Lastly, in light of public opinion transmission theory, this paper refers to social reinforcement factors concepts to describe computer virus transmission on OSN and analyses transmission disciplines in regular and random networks.